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Google's New AI Overviews Isn’t Just Another Search Update
Google's recent rollout of AI Overviews (previously called “Search Generative Experience”) at its annual developer conference is being hailed as the biggest transformation in search since the company was founded. This isn’t a side project for Google — it fundamentally alters how content gets discovered, consumed, and valued online. If you're in marketing, PR, content strategy, or run a business that depends on online visibility, this requires a fundamental shift in your thinking. What Is AI Overviews? Instead of showing users a familiar list of blue links and snippets, Google now uses artificial intelligence to generate a summary answer at the very top of many search results pages. This AI-generated box pulls together content from across the web and tries to answer the user’s question instantly—without requiring them to click through to individual websites. Here’s what that looks like: You type in a question like “What are the best strategies for handling a media crisis?” Instead of just links, you see a big AI-generated paragraph with summarized strategies, possibly quoting or linking to 3-5 sources—some of which might not even be visible unless you scroll or expand the summary. Welcome to the new digital gatekeeper. Elizabeth Reid, VP of Search at Google states "Our new Gemini model customized for Google Search brings together Gemini’s advanced capabilities — including multi-step reasoning, planning and multimodality — with our best-in-class Search systems. Let's breakdown this technobabble. Think of Gemini as the brain behind Google’s search engine that’s now: Even More Focused on User intent For years, SEO strategies were built around guessing and gaming the right keywords: “What exact phrase are people typing into Google?” That approach led to over-optimized content — pages stuffed with phrases like “best expert speaker Boston cleantech” — written more for algorithms than actual humans. But with Google Gemini and other AI models now interpreting search queries like a smart research assistant, the game has changed entirely. Google is no longer just matching phrases — it’s interpreting what the user wants to do and why they’re asking. Here’s What That Looks Like: Let’s say someone searches: “How do I find a reputable expert on fusion energy who can speak at our cleantech summit?” In the old system, pages that mentioned “renewable energy,” “expert,” and “speaker” might rank — regardless of whether they actually helped the user solve their problem. Now Google more intuitively understands: • The user wants to evaluate credibility • The user is planning an event • The user needs someone available to speak • The context is likely professional or academic If your page simply has the right keywords but doesn’t send the right signals — you’re invisible. Able to plan ahead Google and AI search platforms now go beyond just grabbing facts. They string together pieces of information to answer more complex, multi-step queries. In traditional search, users ask one simple question at a time. But with multi-step queries, users are increasingly expecting one search to handle a series of related questions or tasks all at once — and now Google can actually follow along and reason through those steps. So imagine you’re planning a conference. A traditional search might look like: "Best conference venues in Boston” But a multi-step query might be: “Find a conference venue in Boston with breakout rooms, check availability in October, and suggest nearby hotels with group rates.” This used to require three or four different searches, and you’d piece it together yourself. Now Google can handle that entire chain of related tasks, plan the steps behind the scenes, and return a highly curated answer — often pulling from multiple sources of structured and unstructured data. Even Better at understanding context Google now gets the difference between ‘a speaker at a conference’ and ‘a Bluetooth speaker’ — because it understands what you mean, not just what you type.” In the past, Google would match keywords literally. If your page had the word “speaker,” it might rank for anything from event keynotes to audio gear. That’s why so many search results felt off or required extra digging. Now Google reads between the lines. It understands that “conference speaker” likely refers to a person who gives talks, possibly with credentials, experience, and a bio. And that “Bluetooth speaker” is a product someone might want to compare or buy. Why this matters for marketers: If you’re relying on vague or generic content — or just “keyword-stuffing” — your pages will fall flat. Google is no longer fooled by superficial matches. It wants depth, clarity, and specificity. Reads More Than Just Text Google now processes images, videos, charts, infographics, and even audio — and uses that multimedia information to answer search queries more completely. This now means that your content isn’t just being read like a document — it’s being watched, listened to, and interpreted like a human would. For example: • A chart showing rising enrollment in nursing programs might get picked up as supporting evidence for a story about healthcare education trends. • A YouTube video of your CEO speaking at a conference might be indexed as proof of thought leadership. • An infographic explaining how your service works could surface in an AI-generated summary — even if the keyword isn’t mentioned directly in text. Ignoring multimedia formats? Then, your competitors’ visual storytelling could be outperforming your plain content. Because you're not giving Google the kind of layered, helpful content that Gemini is now designed to highlight. Why This Matters There's a big risk here. Marketers who ignore these developments are in danger of becoming invisible in search. Your old SEO tricks won’t work. Your content won’t appear in AI summaries. Your organization won’t be discovered by journalists, customers, or partners who now rely on smarter search results to make decisions faster. If you’re in communications, PR, media relations, or digital marketing, here’s the key message. You are no longer just fighting for links. You need to fight to be included in the Google AI summary itself at the top of search results - that's the new #1 goal. Why? Journalists can now find their answers before ever clicking on your beautifully written news page. Prospective students, donors, and customers will often just see the AI’s version of your content. Your brand’s visibility now hinges on being seen as “AI-quotable.” If your organization isn’t optimized for this new AI-driven landscape, you risk becoming invisible at the very moment people are searching for what you offer. How You Can Take Action (and Why Your Role Is More Important Than Ever) This isn’t just an IT or SEO problem. It’s a communications strategy opportunity—and you are central to the solution. What You Can Do Now to Prepare for AI Overviews 1. Get Familiar with How AI “Reads” Your Content AI Overviews pull content from websites that are structured clearly, written credibly, and explain things in simple language. Action Items: Review your existing content: Is it jargon-heavy? Outdated? Lacking expert quotes or explanations? Then, it's time to clean house. 2. Collaborate with your SEO and Web Teams Communicators and content creators now need to work hand-in-hand with technical teams. Action Items: Check your pages to see if you are using proper schema markup. Are you creating topic pages that explain complex ideas in simple, scannable formats? 3. Showcase Human Expertise AI values content backed by real people—especially experts with credentials. Action Items: Make sure your expert profiles are up to date. Make sure you continue to enhance them with posts, links to media coverage, short videos, images and infographics that highlight the voices behind your brand and make you stand out in search. 4. Don’t Just Publish—Package AI favors content that it can easily digest and display such as summary paragraphs, FAQs, and bold headers that provide structure for search engines. This also makes your content more scannable and engaging to humans. Action Items: Repurpose your best content into AI-friendly formats: think structured lists, how-tos, and definitions. 5. Monitor Your Presence in AI Overviews Regularly search key topics related to your organization and see what shows up. Action Items: Is your content featured? If not, whose is—and identify what they doing differently. A New Role for Communications: From Media Pitches to Machine-Readable Influence This isn’t the end of communications as we know it—it’s an evolution. Your role now includes helping your organization communicate clearly to machines as well as to people. Think of it as “PR for the algorithm.” You’re not just managing narratives for the public—you’re shaping what AI systems say about you and your brand. That means: • Ensuring your best ideas and experts are front and center online. • Making complex information simple and quotable. • Collaborating cross-functionally like never before. Final Thought: AI Search Rewards the Prepared Google’s new AI Overviews are here. They’re not a beta test. This is the future of search, and it’s already rolling out. If your institution, company, or nonprofit wants to be discovered, trusted, and quoted, you can no longer afford to ignore how AI interprets your online presence. Communications and media professionals are now at the front lines of discoverability. And the best way to lead is to act now, work collaboratively, and elevate your role in this new era of search. Want to see how leading organizations are getting ahead in the age of AI search? Discover how ExpertFile is helping corporations, universities, healthcare institutions and industry associations transform their knowledge into AI-optimized assets — boosting visibility, credibility, and media reach. Get your free download of our app at www.expertfile.com
Will AI undermine or support writing and critical thinking?
As artificial intelligence reshapes the way we write and think, a central question emerges: Is AI helping or hindering our ability to engage in independent, critical thought? Joshua Wilson, professor of education at the University of Delaware, investigates this topic in a new paper that examines the risks of AI dependency and discusses the need for AI literacy in education. Wilson explores how AI impacts cognitive development through writing — highlighting both the promise and peril of AI-powered tools like ChatGPT. His expertise centers on how these tools interact with foundational models of writing and learning and what that means for education, workforce readiness and civic engagement. In his new paper, Wilson warns that while AI can support higher-order thinking by automating basic writing mechanics, it also risks eroding critical thinking if students and professionals come to rely on it uncritically. He is a leading advocate for AI literacy in education – training individuals not just to use AI, but to think with it. Wilson is available for interviews with reporters, particularly those covering the intersection of AI, education and society and investigating the risks of cognitive offloading in an AI-saturated world. To reach Wilson directly, visit his profile and click on the contact button.
Have you ever dreamed of being an Olympic athlete? Perhaps you have wondered what it would feel like to stand on that podium in front of the world as your national anthem plays. For most Olympic athletes, the journey begins very early in life. But imagine what it would be like if you started training for this event in your 60s? Read on if you want an edge to discover how to win the Retirement Games and still pass the drug test (let’s face it, peeing is not an issue for many at that age)! Here is your chance to get on the podium at the most crucial game of your life. On Your Marks, Get Set, Ready, Go! Retirement was more like a coffee break five decades ago—brief, predictable, and over before your muffin cooled. In 1975, the average Canadian could expect to live about 73.53 years. Fast forward to 2025; we're clocking in at nearly 83.26 years. Even juicier? The lastest research shows half of today's 20-year-olds in Canada are expected to live past 90. That’s why we need to think of retirement these days, not as a sprint; instead, it’s an ultramarathon with hills, potholes, and the occasional pulled hamstring. Most of us never expected to be training for it in our sixties, but here we are—so pull up your compression socks and move. The starter's pistol is about to fire, whether you're ready or not! Surprise! You're Retired While you may dream of selecting your retirement date like a fine wine, many face the reality of a boxed kind instead. Approximately 6 in 10 Americans retire earlier than they planned. Research from the Transamerica Center for Retirement Studies shows that many individuals experience unexpected early retirement due to personal health issues, employer discretion, or family-related circumstances. https://www.cbsnews.com/news/retirement-age-in-america-62-claiming-social-security-early/ Sometimes, it's a health scare, a loved one’s illness, or a harsh employer downsizing. Nobody whispers the term "ageism," but when companies replace senior employees with younger, more affordable talent (or AI bots), it’s not subtle—it’s math.As Morgan Housel reminds us in his bestseller, The Psychology of Money, "The most important part of every plan is planning for your plan, not going according to plan." Expect the unexpected. Train as if retirement could sneak up on you—because it just might. Get Fit, Stay Sharp: Health is the First Leg of the Race Physical and mental health are the fuel for your retirement. The rest doesn’t matter without them; we’re not just talking about lifting weights. (Though, yes, lift some weights.) Regular physical activity provides numerous benefits for older adults, including a reduced risk of dementia and enhanced cognitive function. Exercise can help maintain brain health, reduce mental decline, and even reverse some age-related brain shrinkage. Additionally, physical activity can improve mood, reduce anxiety, and enhance balance and coordination, leading to a better quality of life. • Strength training enhances bone density, metabolism, and mental health. (Source: Mayo Clinic) • Flexibility and balance? Try yoga or tai chi. Harvard Health says they reduce pain and stiffness. • Mental fitness? Cue up Wordle, Canuckle (the Canadian cousin), or Sudoku. • Dancing? It's beneficial for your brain and your swagger • Listening to music or playing an instrument can reduce stress and boost memory. Gold Medal Tip: Motivation is overrated; action is everything. Don’t be a couch potato. A new study conducted at the University of Pittsburgh School of Medicine shows that older adults who spend more time sedentary — such as sitting or lying down — may be at a higher risk for lower cognition and in areas linked to the development of Alzheimer’s disease, no matter how much they exercise! So make sure you show up, move, and the motivation will catch up. Wealth Training: Stop Hoping, Start Budgeting Here's a shocker: Retirement doesn't mean your expenses magically disappear. According to Steve Willems' podcast “10 Retirement Myths You May Not Want to Believe,” most retirees don’t spend less. Aside from the mortgage, spending remains surprisingly consistent, especially during the Go-Go years (ages 55-75)”. We like what we like: groceries, entertainment, travel, and stylish or comfortable clothes are still on our shopping lists. That’s why many of us in retirement will need to pay more attention to spending and budgeting. Check Obligation Spending Retirement is the perfect time to reevaluate expenses from obligation rather than genuine need or joy. Here's a thoughtful way to frame that idea: Retirement is the season of freedom, so why are you still paying for things that feel like a burden? Now that you’re no longer earning a regular paycheck, every dollar matters more than ever. This means it’s time to take a closer look at obligatory expenses. These might include: • Helping adult children financially (even when it stretches your budget) • Donating to every fundraiser or cause just because someone asked • Hosting large family gatherings that leave you exhausted and over budget • Maintaining memberships, subscriptions, or traditions that no longer bring you joy. (We talk a lot more about this in a previous post What’s your Retirement Plan B While generosity is admirable, it shouldn’t jeopardize your financial security or peace of mind. Retirement should focus on investing in what truly matters to you now, rather than keeping up appearances or adhering to outdated expectations. Here’s a gentle mantra to adopt: “I’ve earned the right to say no with love and confidence.” Freeing yourself from obligation spending doesn’t mean becoming stingy; it means becoming intentional. Give where your heart feels full, not where your guilt feels heavy. After all, you didn’t work all those years to keep writing checks out of habit. Balance Beam- Budget What’s your plan when overtime isn’t an option and the budget doesn’t balance? Start with a good old-fashioned reality check: • Write down ALL expenses. • Tally up your income. • Look for a surplus (yay, trip!) or a shortfall (boo, time to pivot). Look at Canadian Government Pensions • Here's the math. Old Age Security (OAS): Max is about $713/month or $8,556/year. And don’t forget the dreaded government clawback (formally known as the Old Age Security Pension Recovery Tax which starts at ~$90,997. • Canada Pension Plan (CPP): The average monthly payment is $758, while the maximum is $1,364 per month or $16,368 per year. So with these two programs combined, provided you meet requirements, as a senior, you're looking at somewhere between $17,000–$25,000/year before tax. If your lifestyle needs a bit more jazz hands, here’s how to bridge the gap: DIY Income Builders: • Slash debt. Every dollar you don't spend is one you keep. • Downsize and bank the equity. • Buy or build an ADU and rent it. I have written more about ADU's here. • HELOC or Reverse mortgage (borrow strategically). • Withdraw from investments (4% rule). • Monetize your skills: consulting, tutoring, or writing that novel you started in 1993. Gold Medal Tip: Track your joy per dollar. If you’re going to spend, make it worth it. Rewire, Don’t Retire: Finding Purpose The biggest myth of retirement? That doing nothing feels good forever. (Spoiler alert: it doesn’t.) Passion is your GPS. It guides you towards what fills your heart. Whether you write poetry, walk dogs, or paint birds wearing tiny hats, your joy matters. And legacy? That’s just purpose with staying power. There’s science to support the benefits of this lesson. A study in JAMA Psychiatry found that people with a sense of purpose had a lower risk of mortality and disability Purpose-Driven Paths: • Volunteer: Look for a cause that fires you up. • Get a part-time job: Perhaps you can fill in at a local bookstore, garden center or be a barista? • Hobbies: Take up painting, pottery, or poetry. • Go Back to School: Many Universities such as The University of Toronto offer free, non-credit courses through programs as part of their community outreach. Seniors (over 60) enrolled at York University may have all or part of their academic fees waived at the domestic fee rate for York University degree credit courses as part of their mature student program. • Spend real time with people you love, maybe your grandkids or elderly parents. • Reconnect with old friends – not just on Facebook, but in person • Get out of your backyard and see the world Gold Medal Tip: You're never too young (or too old) to chase what lights you up. Start a business, get that degree you always wanted, and write that book. Go. For. It. Support: No One Trains Alone Retirement can be lonely. As we age, friends pass, routines fade, and isolation creeps in. That’s why your squad matters more than ever. Find Your Pod: • Family & Friends: Set expectations. Ask for help. Host Sunday dinners. Stay connected. • Fitness & Social Clubs: Join a walking group or participate in a gym class, followed by regular post-sweat coffee. • Faith Communities: Spirituality and structure in one. Sing in the choir. Serve at events. • Third Places: As sociologist Ray Oldenburg says, these are neutral hangouts like libraries, community centers, or your local café. They’re tied to lower loneliness and better mental health. Think of Cheers: “Where everyone knows your name!” Gold Medal Tip: Your local pickleball court or knitting circle might just be your new training ground. Attitude Training: Stop Acting Your Age Here’s a radical thought: Maybe we feel old because we act old. Want to stay young? Stay curious, try new things. Try line dancing, pickleball, bird watching, improv, or learning to code. Yes, code. What was the worst advice our mothers gave us? “Act your age.” Nonsense! Whoever said, “You’re only as old as you feel” was on to something – but let’s take it up a notch: How about you’re only as old as your playlist! The Power of a Youthful Attitude in Retirement A successful retirement isn’t just about savings accounts and spreadsheets — it’s about mindset. A positive, youthful attitude is one of the most powerful (and overlooked) assets you can carry into retirement. Even if you don’t feel youthful or optimistic, “fake it ‘til you make it” is more than just a catchy phrase—it’s a strategy. The goal isn't to accurately describe your aches, fears, or fatigue but to set yourself up for success! Science backs it up: a positive outlook boosts health, sharpens cognition, and increases longevity. From a practical perspective, optimism makes it easier to try new things, adapt to change, and enjoy the present—all essential in retirement. So, if the voice in your head says, “I’m too old for that,” try responding with, “This is my time.” You begin to build because what you tell yourself matters, as does what you believe. Retirement is your reward. Approach it like the vibrant, capable, unstoppable human you are because attitude, not age, sets the tone. Gold Medal Tip: You’re only as old as the last thing you tried for the first time. Try something ridiculous, I double dare you! Final Stretch The Retirement Games are here, and let me be crystal clear: this isn’t amateur hour. This is your Olympic moment, with medals awarded for stamina, strategy, and a solid sense of humour. Whether you're rounding the first turn at 45 or doing your victory lap at 75, now is the time to train. You’ve built strength, stretched your budget, flexed your purpose muscle, assembled your dream team, and rebooted your mindset. Now it’s time to lace up, lean in, and live life to the fullest. This isn’t about perfection; it’s about preparation. You won’t achieve a podium finish through wishful thinking; you’ll attain it through action, adaptation, and a great deal of repetition. So, put on your metaphorical tracksuit (or actual tracksuit if it's laundry day) and begin training with determination. The gold medal retirement isn’t just possible—it’s within reach. Cue the confetti cannon. You’re not just aging—you’re advancing. And champions, as we know, don’t retire… they rewire, recharge, and rewrite the playbook. On Your Marks, Get Set, THRIVE! Don’t Retire … Re-Wire! Sue
Researchers to explore how AI can help urban mobility planners They are to investigate AI-driven policy tools’ potential to create greener cities Project to benefit from expertise of five European universities. A European group of researchers led by Aston University is taking the first steps to explore how AI can help urban mobility planners. As city populations grow causing strain on resources, the experts are to investigate AI-driven policy tools’ potential to create greener cities. The team have received £10,000 in funding from the British Academy which they hope will set them on the road to further research. Taking part in the project will be experts from University College London, Ruralis University in Norway, the University of Turin, Italy and Lisbon University Institute, Portugal. Dr Dalila Ribaudo from the Centre for Business Prosperity at Aston Business School and Dr Alina Patelli from the Aston Centre for Artificial Intelligence Research and Application will co-lead a UK-EU consortium consolidation project. The interdisciplinary project will benefit from expertise in applied business and specialist insight into global economics, policymaking and urban transport planning. Dr Patelli said “Policymakers and society could all benefit from our research into innovative ways of managing the strain on urban infrastructures and resources. "The AI-powered policy tools we are developing are meant to support decision managers at all levels of urban governance with reducing emissions, optimising transportation as well as predicting and preventing environmental hazards. Such changes would improve the quality of life for the millions of people living in towns and cities across the UK, Europe and, in the long term, the entire world.” Following the successful bid for the British Academy pump priming grant the team will apply for Horizon Europe funding to continue developing impactful AI-driven policy tools for greener cities.
#Expert Research: The Use of AI in Financial Reporting
Artificial intelligence (AI) is developing into an amazing tool to help humans across multiple fields, including medicine and research, and much of that work is happening at Emory University’s Goizueta Business School. Financial reporting and auditing are both areas where AI can have a significant impact as companies and audit firms are rapidly adopting the use of such technology. But are financial managers willing to rely on the results of AI-generated information? In the context of audit adjustments, it depends on whether their company uses AI as well. Willing to Rely on AI? Cassandra Estep, assistant professor of accounting at Goizueta Business School, and her co-authors have a forthcoming study looking at financial managers’ perceptions of the use of AI, both within their companies and by their auditors. Research had already been done on how financial auditors react to using AI for evaluating complex financial reporting. That got Estep and her co-authors thinking there’s more to the story. “A big, important part of the financial reporting and auditing process is the managers within the companies being audited. We were interested in thinking about how they react to the use of AI by their auditors,” Estep says. “But then we also started thinking about what companies are investing in AI as well. That joint influence of the use of AI, both within the companies and by the auditors that are auditing the financials of those companies, is where it all started.” The Methodology Estep and her co-authors conducted a survey and experiment with senior-level financial managers with titles like CEO, CFO, or Controller – the people responsible for making financial reporting decisions within companies. The survey included questions to understand how companies are using AI. It also included open-ended questions designed to identify key themes about financial managers’ perceptions of AI use by their companies and their auditors. In the experiment, participants completed a hypothetical case in which they were asked about their willingness to record a downward adjustment to the fair value of a patent proposed by their auditors. The scenarios varied across randomly assigned conditions as to whether the auditor did or not did not use AI in coming up with the proposed valuation and adjustment, and whether their company did or did not use AI in generating their estimated value of the patent. When both the auditor and the company used AI, participants were willing to record a larger adjustment amount, i.e., decrease the value of the patent more. The authors find that these results are driven by increased perceptions of accuracy. It’s not necessarily a comfort thing, but a signal from the company that this is an acceptable way to do things, and it actually caused them to perceive the auditors’ information as more accurate and of higher quality. Cassandra Estep, assistant professor of accounting “Essentially, they viewed the auditors’ recommendation for adjusting the numbers to be more accurate and of higher quality, and so they were more willing to accept the audit adjustment,” Estep says. Making Financial Reporting More Efficient Financial reporting is a critical process in any business. Companies and investors need timely and accurate information to make important decisions. With the added element of AI, financial reporting processes can include more external data. We touched on the idea that these tools can hopefully process a lot more information and data. For example, we’ve seen auditors and managers talk about using outside information. Cassandra Estep “Auditors might be able to use customer reviews and feedback as one of the inputs to deciding how much warranty expense the company should be estimating. And is that amount reasonable? The idea is that if customers are complaining, there could be some problem with the products.” Adding data to analytical processes, when done by humans alone, adds a significant amount of time to the calculations. Research from the European Spreadsheets Risks Interest Group says that more than 90% of all financial spreadsheets contain at least one error. Some forms of AI can process hundreds of thousands of calculations overnight, typically with fewer errors. In short, it can be more efficient. Efficiency was brought up a lot in our survey, the idea that things could be done faster with AI. Cassandra Estep “We also asked the managers about their perspective on the audit side, and they did hope that audit fees would go down, because auditors would be able to do things more quickly and efficiently as well,” Estep says. “But the flip side of that is that using AI could also raise more questions and more issues that have to be investigated. There’s also the potential for more work.” The Fear of Being Replaced The fear of being replaced is a more or less universal worry for anyone whose industry is beginning to adopt the use of AI in some form. While the respondents in Estep’s survey looked forward to more efficient and effective handling of complex financial reporting by AI, they also emphasized the need to keep the human element involved in any decisions made using AI. What we were slightly surprised about was the positive reactions that the managers had in our survey. While some thought the use of AI was inevitable, there’s this idea that it can make things better. Cassandra Estep “But there’s still a little bit of trepidation,” Estep says. “One of the key themes that came up was yes, we need to use these tools. We should take advantage of them to improve the quality and the efficiency with which we do things. But we also need to keep that human element. At the end of the day, humans need to be responsible. Humans need to be making the decisions.” A Positive Outlook The benefits of AI were clear to the survey participants. They recognized it as a positive trend, whether or not it was currently used in their financial reporting. If they weren’t regularly using AI, they expected to be using it soon. I think one of the most interesting things to us about this paper is this idea that AI can be embraced. Companies and auditors are still somewhat in their infancy of figuring out how to use it, but big investments are being made. Cassandra Estep “And then, again, there’s the fact that our experiment also shows a situation where managers were willing to accept the auditors’ proposed adjustments. This arguably goes against their incentives as management to keep the numbers more positive or optimistic,” Estep continues. “The auditors are serving that role of helping managers provide more reliable financial information, and that can be viewed as a positive outcome.” “There’s still some hesitation. We’re still figuring out these tools. We see examples all the time of where AI has messed up, or put together false information. But I think the positive sentiment across our survey participants, and then also the results of our experiment, reinforce the idea that AI can be a good thing and that it can be embraced. Even in a setting like financial reporting and auditing, where there can be fear of job replacement, the focus on the human-technology interaction can hopefully lead to improved situations.” Cassandra Estep, is an assistant professor of accounting at Goizueta Business School, and a co-author of the forthcoming study looking at financial managers’ perceptions of the use of AI. She's available to speak about this important topic - simply click on her icon now to arrange an interview today.
How college graduates can find success in a tough job market
Commencement season is an exciting time for soon-to-be college graduates – at least for those who will jump into a job once the caps are tossed. For others, it's a time of stress and uncertainty. Jill Gugino Panté, director of the Lerner Career Services Center at the University of Delaware, identified three areas where concerned graduates should focus to boost their chances of scoring interviews and potentially securing employment this summer. • Stay industry-informed: Keeping up with skills, trends and news in your field to stay current and competitive. • Network with purpose: Because many jobs are landed through connections, use LinkedIn to engage with others and grow your brand. • Leverage AI Smartly. Use tools like ChatGPT, Microsoft Copilot or Google Gemini to refine your resume, prep for interviews or analyze job descriptions. One key: Remember to maintain your authentic self. To arrange an interview with Panté visit her profile and click on the "contact" button.
NASA Asks Researchers to Help Define Trustworthiness in Autonomous Systems
A Florida Tech-led group of researchers was selected to help NASA solve challenges in aviation through its prestigious University Leadership Initiative (ULI) program. Over the next three years, associate professor of computer science and software engineering Siddhartha Bhattacharyya and professor of aviation human factors Meredith Carroll will work to understand the vital role of trust in autonomy. Their project, “Trustworthy Resilient Autonomous Agents for Safe City Transportation in the Evolving New Decade” (TRANSCEND), aims to establish a common framework for engineers and human operators to determine the trustworthiness of machine-learning-enabled autonomous aviation safety systems. Autonomous systems are those that can perform independent tasks without requiring human control. The autonomy of these systems is expected to be enhanced with intelligence gained from machine learning. As a result, intelligence-based software is expected to be increasingly used in airplanes and drones. It may also be utilized in airports and to manage air traffic in the future. Learning-enabled autonomous technology can also act as contingency management when used in safety applications, proactively addressing potential disruptions and unexpected aviation events. TRANSCEND was one of three projects chosen for the latest ULI awards. The others hail from Embry-Riddle Aeronautical University in Daytona Beach – researching continuously updating, self-diagnostic vehicle health management to enhance the safety and reliability of Advanced Air Mobility vehicles – and University of Colorado Boulder – investigating tools for understanding and leveraging the complex communications environment of collaborative, autonomous airspace systems. Florida Tech’s team includes nine faculty members from five universities: Penn State; North Carolina A&T State University; University of Florida; Stanford University; Santa Fe College. It also involves the companies Collins Aerospace in Cedar Rapids, Iowa and ResilienX of Syracuse, New York. Carroll and Bhattacharyya will also involve students throughout the project. Human operators are an essential component of aviation technology – they monitor independent software systems and associated data and intervene when those systems fail. They may include flight crew members, air traffic controllers, maintenance personnel or safety staff monitoring overall system safety. A challenge in implementing independent software is that engineers and operators have different interpretations of what makes a system “trustworthy,” Carroll and Bhattacharyya explained. Engineers who develop autonomous software measure trustworthiness by the system’s ability to perform as designed. Human operators, however, trust and rely on systems to perform as they expect – they want to feel comfortable relying on a system to make an aeronautical decision in flight, such as how to avoid a traffic conflict or a weather event. Sometimes, that reliance won’t align with design specifications. Equally important, operators also need to trust that the software will alert them when it needs a human to take over. This may happen if the algorithm driving the software encounters a scenario it wasn’t trained for. “We are looking at how we can integrate trust from different communities – from human factors, from formal methods, from autonomy, from AI…” Bhattacharyya said. “How do we convey assumptions for trust, from design time to operation, as the intelligent systems are being deployed, so that we can trust them and know when they’re going to fail, especially those that are learning-enabled, meaning they adapt based on machine learning algorithms?” With Bhattacharyya leading the engineering side and Carroll leading the human factors side, the research group will begin bridging the trust gap by integrating theories, principles, methods, measures, visualizations, explainability and practices from different domains – this will build the TRANSCEND framework. Then, they’ll test the framework using a diverse range of tools, flight simulators and intelligent decision-making to demonstrate trustworthiness in practice. This and other data will help them develop a safety case toolkit of guidelines for development processes, recommendations and suggested safety measures for engineers to reference when designing “trustworthy,” learning-enabled autonomous systems. Ultimately, Bhattacharyya and Carroll hope their toolkit will lay the groundwork for a future learning-enabled autonomous systems certification process. “The goal is to combine all our research capabilities and pull together a unified story that outputs unified products to the industry,” Carroll said. “We want products for the industry to utilize when implementing learning-enabled autonomy for more effective safety management systems.” The researchers also plan to use this toolkit to teach future engineers about the nuances of trust in the products they develop. Once developed, they will hold outreach events, such as lectures and camps, for STEM-minded students in the community. If you're interested in connecting with Meredith Carroll or Siddhartha Bhattacharyya - simply click on the expert's profile or contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.
Expert Perspective: Mitigating Bias in AI: Sharing the Burden of Bias When it Counts Most
Whether getting directions from Google Maps, personalized job recommendations from LinkedIn, or nudges from a bank for new products based on our data-rich profiles, we have grown accustomed to having artificial intelligence (AI) systems in our lives. But are AI systems fair? The answer to this question, in short—not completely. Further complicating the matter is the fact that today’s AI systems are far from transparent. Think about it: The uncomfortable truth is that generative AI tools like ChatGPT—based on sophisticated architectures such as deep learning or large language models—are fed vast amounts of training data which then interact in unpredictable ways. And while the principles of how these methods operate are well-understood (at least by those who created them), ChatGPT’s decisions are likened to an airplane’s black box: They are not easy to penetrate. So, how can we determine if “black box AI” is fair? Some dedicated data scientists are working around the clock to tackle this big issue. One of those data scientists is Gareth James, who also serves as the Dean of Goizueta Business School as his day job. In a recent paper titled “A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification” Dean James—along with coauthors Bradley Rava, Wenguang Sun, and Xin Tong—have proposed a new framework to help ensure AI decision-making is as fair as possible in high-stakes decisions where certain individuals—for example, racial minority groups and other protected groups—may be more prone to AI bias, even without our realizing it. In other words, their new approach to fairness makes adjustments that work out better when some are getting the short shrift of AI. Gareth James became the John H. Harland Dean of Goizueta Business School in July 2022. Renowned for his visionary leadership, statistical mastery, and commitment to the future of business education, James brings vast and versatile experience to the role. His collaborative nature and data-driven scholarship offer fresh energy and focus aimed at furthering Goizueta’s mission: to prepare principled leaders to have a positive influence on business and society. Unpacking Bias in High-Stakes Scenarios Dean James and his coauthors set their sights on high-stakes decisions in their work. What counts as high stakes? Examples include hospitals’ medical diagnoses, banks’ credit-worthiness assessments, and state justice systems’ bail and sentencing decisions. On the one hand, these areas are ripe for AI-interventions, with ample data available. On the other hand, biased decision-making here has the potential to negatively impact a person’s life in a significant way. In the case of justice systems, in the United States, there’s a data-driven, decision-support tool known as COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions) in active use. The idea behind COMPAS is to crunch available data (including age, sex, and criminal history) to help determine a criminal-court defendant’s likelihood of committing a crime as they await trial. Supporters of COMPAS note that statistical predictions are helping courts make better decisions about bail than humans did on their own. At the same time, detractors have argued that COMPAS is better at predicting recidivism for some racial groups than for others. And since we can’t control which group we belong to, that bias needs to be corrected. It’s high time for guardrails. A Step Toward Fairer AI Decisions Enter Dean James and colleagues’ algorithm. Designed to make the outputs of AI decisions fairer, even without having to know the AI model’s inner workings, they call it “fairness-adjusted selective inference” (FASI). It works to flag specific decisions that would be better handled by a human being in order to avoid systemic bias. That is to say, if the AI cannot yield an acceptably clear (1/0 or binary) answer, a human review is recommended. To test the results for their “fairness-adjusted selective inference,” the researchers turn to both simulated and real data. For the real data, the COMPAS dataset enabled a look at predicted and actual recidivism rates for two minority groups, as seen in the chart below. In the figures above, the researchers set an “acceptable level of mistakes” – seen as the dotted line – at 0.25 (25%). They then compared “minority group 1” and “minority group 2” results before and after applying their FASI framework. Especially if you were born into “minority group 2,” which graph seems fairer to you? Professional ethicists will note there is a slight dip to overall accuracy, as seen in the green “all groups” category. And yet the treatment between the two groups is fairer. That is why the researchers titled their paper “a burden shared is a burdened halved.” Practical Applications for the Greater Social Good “To be honest, I was surprised by how well our framework worked without sacrificing much overall accuracy,” Dean James notes. By selecting cases where human beings should review a criminal history – or credit history or medical charts – AI discrimination that would have significant quality-of-life consequences can be reduced. Reducing protected groups’ burden of bias is also a matter of following the laws. For example, in the financial industry, the United States’ Equal Credit Opportunity Act (ECOA) makes it “illegal for a company to use a biased algorithm that results in credit discrimination on the basis of race, color, religion, national origin, sex, marital status, age, or because a person receives public assistance,” as the Federal Trade Commission explains on its website. If AI-powered programs fail to correct for AI bias, the company utilizing it can run into trouble with the law. In these cases, human reviews are well worth the extra effort for all stakeholders. The paper grew from Dean James’ ongoing work as a data scientist when time allows. “Many of us data scientists are worried about bias in AI and we’re trying to improve the output,” he notes. And as new versions of ChatGPT continue to roll out, “new guardrails are being added – some better than others.” “I’m optimistic about AI,” Dean James says. “And one thing that makes me optimistic is the fact that AI will learn and learn – there’s no going back. In education, we think a lot about formal training and lifelong learning. But then that learning journey has to end,” Dean James notes. “With AI, it never ends.” Gareth James is the John H. Harland Dean of Goizueta Business School. If you're looking to connect with him - simply click on his icon now to arrange an interview today.
The Hidden Power of Invisible Experts
In a fast-moving landscape shaped by AI, hybrid work, and constant information shifts, organizations can’t afford to overlook their own expertise. Yet many still do — because the most valuable voices are often hiding in plain sight. We call them "invisible experts". These aren’t just the well-known thought leaders or executives quoted in media. They’re the researchers, engineers, clinicians, analysts, and project leads quietly shaping strategy, driving innovation, and influencing outcomes every day. They have deep knowledge, practical insight, and the credibility to build trust — but they’re often left out of the spotlight. And that’s a problem. --- The Expertise Gap Many organizations, both corporate and institutional struggle to define what makes someone an “expert”. Without a clear framework, expertise is often equated with job title, seniority, or public visibility. But in reality, expertise is multidimensional. It includes formal education, yes — but also lived experience, community influence, original research, and the ability to explain complex ideas clearly. If your organization wants to stay competitive, earn media attention, attract speaking engagements, partnerships, or influence your industry, you need a deeper bench of visible expertise. And it starts by identifying who your real experts are — not just the obvious ones. --- 7 Dimensions of Expertise Here are seven ways to think about expertise beyond the traditional credentials: Authority – Known as a go-to source in their domain. Advocate – Actively supports and elevates their professional community. Educator – Shares knowledge through teaching, speaking, or mentoring. Author – Publishes original insights or thought leadership content. Researcher – Contributes new data, analysis, or findings in their field. Practitioner – Applies knowledge in real-world contexts daily. Graduate – Has academic or technical training in a focus area. Not every expert is made for the stage or the media spotlight — and that’s okay. Some are best behind the scenes, helping create compelling content, briefing spokespeople, or surfacing insights from the field. Your job is to recognize the different ways people can contribute and make that part of your strategy. --- Visibility ≠ Seniority In the era of LinkedIn, personal branding, and AI-powered content, professional visibility is no longer tied to hierarchy. A mid-career professional, with a sharp take on current events might be more discoverable — and more in demand — than a long-tenured exec with little digital presence. That’s why organizations need to shift from thinking about expertise as a ladder, to thinking of it as an ecosystem. Not every expert wants to build a personal brand, but many are ready to contribute — if they’re supported and recognized. Here’s the truth: If you don’t tell your story, someone else will. And if you don’t help your experts show up in the right places — search engines, newsrooms, speaker directories, donor meetings — opportunities will go elsewhere. --- Give Your Experts a Digital Home Even after you've identified your internal experts, the next question is: Where do they live online? Too many organizations treat expert content like an afterthought — scattered across bio pages, outdated PDFs, or buried in press releases. To unlock the real value of your expertise, you need to give it a proper home. That means: Expert Profiles that showcase credentials, insights, and media-friendly info Expert Posts that surface their latest research, commentary, and thought leadership Searchable Directories that help media, partners, and the public find the right voice fast Inquiry Management tools that streamline incoming requests and drive results A centralized platform makes it easier for both internal teams and external audiences to discover, engage, and activate your expertise — whether it’s for media interviews, event invitations, donor conversations, or strategic partnerships. Without it, you're leaving visibility and value on the table. --- Is Your Organization Ready? Expertise is one of your most valuable and underutilized assets — but turning it into impact requires more than a list of names. You need to take stock of your internal bench strength, identify the experts who are ready to lead, and invest in the systems that make their voices heard. Start by asking: Who in our organization has untapped insight? Who’s already engaging audiences but flying under the radar? What tools, platforms, and support can we provide to amplify them? Recognizing your invisible experts is just the first step. Giving them a digital home and helping them engage with the right audiences — that’s how you turn knowledge into opportunity. Learn more about how ExpertFile helps organization's shine the light in these Invisible Experts.
Should I use AI to write my college entrance essay?
With the rapid advancement of artificial intelligence tools such as generative pre-trained transformers, or GPTs, high school students may be tempted to use the tools to perfect their college applications, particularly their entrance essay. Robert Alexander, a vice provost and the dean of enrollment management at the University of Rochester, cautions prospective college students from relying too heavily on AI tools in their applications. “The sentiment among college admissions professionals is that while AI tools may be helpful in generating essay topics and refining or editing students’ writing, we discourage their use to compose application essays or short answers because AI stifles an applicant’s authentic voice,” Alexander says. That personal voice becomes paramount when admissions officers are sifting through applications and considering how each student will contribute to the campus community and fit into the incoming class. “No college or university is trying to admit perfectly identical automaton students,” Alexander says. “At the University of Rochester, for instance, we’re not looking for 1,300 perfect students. We’re trying to craft the perfect class of 1,300 very different and highly-imperfect, but great-fit students.” The goal, he says, is to invite great students, inclusive of their imperfections, and guide them on a transformative journey through their next four years. “Colleges want students to come in with a growth mindset and potential,” Alexander says. “So, if students think they can use AI to help make their application ‘perfect,’ I think they’re chasing the wrong brass ring.” Alexander is an expert in undergraduate admissions and enrollment management who speaks on the subjects to national audiences and whose work has been published in national publications. Click his profile to reach him.
