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Video Insights: What Investors Need to Know About Shifting Tariffs
Unprecedented uncertainty brought on by quickly evolving tariff policies is creating challenges and additional considerations for investors and other capital providers. In this video, J.S. Held experts Brian Gleason, John Peiserich, James E. Malackowski, and Tom Burns – experts in turnaround, supply chain, intellectual property, and political risk – pose twelve questions to private equity sponsors and their portfolio companies to explore amid the continued tariff uncertainty. Restructuring and operations expert Brian Gleason has managed or participated in more than 300 turnaround engagements over the past 29 years and applies the principles utilized in J.S. Held's work advising companies in crisis. In the video, Brian addresses three essential questions that investors should consider with their portfolio companies during this period of unprecedented tariff-policy-induced uncertainty: 1) How have tariffs impacted business forecasting and investor confidence? 2) What are the key actions portfolio company management teams should take during tariff-induced uncertainty? 3) What leadership strategies are recommended for navigating the economic stress caused or complicated by tariffs? Business intelligence expert Tom Burns has extensive experience leading intelligence collection assignments for financial institutions, law firms, and blue-chip multinationals around the world. Tom explores the additional pre-acquisition diligence essential amid tariff uncertainty in the video. He addresses three questions, including: 4) How have tariffs changed the due diligence process in acquisitions? 5) What is transshipment, and why is it a concern for investors and their portfolio companies? 6) What steps should investors take to manage tariff-related risks in acquisitions? Capital projects, environmental risk, and compliance expert John Peiserich has over 30 years of experience advising heavy industry and law firms throughout the country with a focus on Oil & Gas, Energy, and Public Utilities. In the video, John reflects upon: 7) Why is it important for investors to assess the owner-operator's understanding of supply chain risks? 8) How have tariffs introduced new challenges for large-scale projects? 9) What is the potential impact of supply chain and tariff-related delays on investment outcomes? James E. Malackowski has a unique perspective on intellectual property litigation risk, strategic management, and monetization, which benefits from his prior work at a leading private equity firm. In the video, he advises investors and their portfolio companies to consider: 10) How do tariffs influence decisions around manufacturing relocation and intellectual property? 11) What IP-related risks should companies consider when relocating manufacturing operations? 12) What steps should investors take to ensure IP is properly managed in response to tariffs? The J.S. Held Tariffs and Trade Series is a collection of intelligence, insights, and action plans that inform strategic business decision-making and foster resilience in an increasingly volatile global market. To view more of our Tariffs and Trade Series expert analysis and commentary, visit: Looking to know more or connect with John Peiserich and James E. Malackowski? Simply click on either expert's icon now to arrange an interview today. If you are looking to connect with Brian Gleason or Tom Burns - contact : Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com

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

ChristianaCare Appoints Jennifer Moberg, DNP, Vice President of Emergency Services
Jennifer Moberg, DNP, MPA, RN, CPPS, NEA-BC, has been appointed vice president of Emergency Services at ChristianaCare. In this role, she will oversee the delivery of safe, high-quality, patient-centered care across ChristianaCare’s emergency departments and support prehospital services and trauma programs. Jennifer Moberg, DNP, has been appointed vice president of Emergency Services at ChristianaCare. Moberg has a strong track record of improving care quality, safety and caregiver engagement in complex health care settings. She has helped build more diverse teams, reduce staff turnover and lead major emergency department renovation projects. She has also worked to make patient care more efficient and improve safety for caregivers by strengthening security practices. Prior to joining ChristianaCare, Moberg served as director of Emergency Services at HealthPartners in Bloomington, Minnesota. She also worked as a senior advisor assessing and standardizing security protocols across hospitals and clinics. Earlier in her career, she spent more than 20 years at Abbott Northwestern, where she served as a critical care nurse and later as a patient care manager. Moberg earned a Doctor of Nursing Practice in executive leadership from Baylor University. She holds a Master of Public Affairs in nonprofit leadership from the University of Minnesota and a Bachelor of Science in nursing from Bethel University. She reports to Chief Nurse Executive Danielle Weber, DNP, MSM, RN-BC, NEA-BC.

Vishesh Agarwal, M.D., Appointed Chief of Addiction Medicine Services
Vishesh Agarwal, M.D., has been appointed chief of Addiction Medicine Services at ChristianaCare. In this role, Agarwal will lead and expand ChristianaCare’s comprehensive addiction treatment services, guiding care for people with substance use disorders across inpatient, outpatient, emergency and consultation settings. He will oversee addiction programs across all campuses, help create consistent care guidelines and support teams of experts working together to provide safe, effective and compassionate care for patients. A key priority for Agarwal will be to explore strategic growth opportunities to broaden ChristianaCare’s reach and strengthen its impact on individuals and families affected by substance use disorders. His leadership will be instrumental in ensuring that ChristianaCare continues to set the standard for innovation and excellence. Agarwal will continue in his role as vice chair of the Department of Psychiatry at ChristianaCare, maintaining his leadership of clinical and operational initiatives in the Behavioral Health Service Line. He will continue to lead efforts to improve provider well-being, develop care pathways and foster clinical growth. He also oversees the Behavioral Health Unit, Emergency Department crisis services and psychiatric consultations for hospitalized patients. Agarwal is board certified in general adult psychiatry, addiction psychiatry and obesity medicine. He has published research on substance use and behavioral addictions in peer-reviewed journals and has presented at national conferences. His 2021 study linking gambling disorder, major depression and suicide risk was published in Addictive Behaviors and gained national attention. Agarwal holds an Executive MBA from Quantic School of Business and Technology and completed an addiction psychiatry fellowship at the Zucker Hillside Hospital. He completed his psychiatry residency and served as administrative chief resident at Einstein Medical Center. He earned his medical degree from Gauhati Medical College. Agarwal teaches and mentors psychiatry residents and medical students as a clinical assistant professor at Sidney Kimmel Medical College at Thomas Jefferson University. He also co-chairs system committees and serves on the board of the Mental Health Association in Delaware. He reports to Mustafa Mufti, M.D., chair of the Department of Psychiatry.

Masoud Davari, Ph.D., associate professor of Electrical and Computer Engineering in the Allen E. Paulson College of Engineering & Computing, was recognized for his achievements in the field of power electronics control and testing with the IEEE Region 3 Outstanding Engineer Award. He was also granted membership into Eta Kappa Nu (HKN), IEEE’s international honor society. IEEE, the Institute of Electrical and Electronics Engineers, is the world’s largest professional organization for electrical engineers, with its membership numbering over 486,000 in more than 190 countries. Davari has been a member of IEEE since 2008 and a senior member of IEEE’s Region 3 since 2019. The organization’s Region 3 encompasses the southeastern United States and has over 24,000 members. The Outstanding Engineer Award, given annually to one member per region, recognizes those who have advanced knowledge and improved humanity through any of the technical subjects covered by the IEEE societies, councils, and affinity groups. Davari was praised for “outstanding, technical, and professional contributions to synthesizing reinforcement learning optimal controls for power electronic converters, creating robust integration of power electronics considering the impact of cyberattacks on modern grids, and advancing IEEE standards for hardware-in-the-loop testing and education through impactful research and service.” This impactful research and service includes eight years of teaching at Georgia Southern. He currently teaches introductory courses on circuit analysis and power systems fundamentals. He has also served as a chapter lead of the IEEE Working Group (WG) P2004 for testing based on hardware-in-the-loop simulations in the IEEE Standards Association (IEEE SA) and that of the IEEE Power and Energy Society Task Force on innovative teaching methods for modern power and energy systems (TR 120). In addition to being an engaged educator, Davari is also a prolific researcher. He was selected as the finalist for the 2024 Curtis W. McGraw Research Award by the Awards Committee of the American Society for Engineering Education (ASEE); has also been awarded a research fellowship by Gulfstream Aerospace Corporation in 2024; was included in Stanford/Elsevier’s Top 2% Scientist Rankings list; and has received $1.17 million in grants from the National Science Foundation Davari’s work ethic and commitment to bridging the gap between industry and research led Rami Haddad, Ph.D., interim dean of the College of Engineering & Computing, to nominate him. “Dr. Davari’s recognition as the IEEE Region 3 Outstanding Engineer and his induction into IEEE-Eta Kappa Nu (HKN) are truly remarkable honors that reflect his outstanding contributions to electrical and computer engineering,” Haddad said. “Being recognized among more than 24,000 IEEE members across the Southeast is a testament to the impact and excellence of his work. We are proud to have Dr. Davari as a valued member of our college, and we celebrate his achievements as a shining example of the innovation and leadership that define our faculty.” This award marks the first time a Georgia Southern faculty member has received it in its 55-year history. It is a career milestone for Davari, who has published research on advanced technology integration into modern power and energy systems in high-impact-factor IEEE Transactions/Journal venues and has extensively researched the era of grid-edge technologies. “I’m deeply honored by this prestigious award,” Davari said. “Not only does it reaffirm my dedication to my research field, but it also fuels my passion for creating a technologically advanced future. Receiving this IEEE award on behalf of my outstanding team is a privilege. Their relentless commitment and hard work since 2015 have truly made this achievement possible.” Davari’s induction into HKN places him among the best in his field. The membership, which is received through invitation only from HKN’s Board of Governors and is based on the candidate’s record of contributions to the field, demonstrated leadership, and community service. “With a legacy that stretches over a century, IEEE-HKN represents the pinnacle of prestige and tradition in our profession, indicating academic achievements and dedication to research, potential leadership, exemplary character, and a positive attitude. Notably, many of our industry’s most influential leaders initiated their journeys through induction into IEEE-HKN as professional members, so receiving this honor is a privilege.” Davari received his award and was inducted into Eta Kappa Nu (HKN) in March at IEEE Region 3’s SoutheastCon 2025 in Charlotte, North Carolina. If you're interested in learning more and want to book time to talk or interview with Masoud Davari then let us help - simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.

Brent Feske, Ph.D., has been named associate vice president for Research in the Office of Research and Economic Development, effective March 1. Feske has served as the interim associate vice president for Research since Sept. 1, 2024. In this short time, he has already significantly impacted the University’s research enterprise. As interim associate vice president for Research, Feske prioritized engaging with the people in his office and the colleges conducting research. “I’ve settled in and moved past the introductory phase,” he said. “I feel I’ve gained a strong understanding of each college’s needs, wants, and aspirations. Together, we’ve laid a solid foundation, and I’m excited to see how our scholarship enterprise can grow and how the Office of Research and Economic Development can help each college reach its full potential.” With nearly twenty years of experience as a dedicated faculty member, Feske brought valuable leadership to the Office of Research and Economic Development. Under his guidance, the office increased internal funding mechanisms to support research, doctoral students and external grant writing. He has also led improvements in how research expenditures are captured and properly coded, providing a clearer picture of the Georgia Southern research landscape. Additionally, he has played a key role in expanding the pre-award team, ensuring better support for faculty and staff throughout the grant submission and award process. “I’m thrilled to have Dr. Feske permanently join the team,” said Vice President for Research and Economic Development David C. Weindorf, Ph.D. “His experience as an administrator and a faculty member really does give him a 360-degree view of the research enterprise and makes him uniquely qualified to lead and help us grow in every aspect. We’ve already accomplished so much, and I can’t wait to see what comes next.” If you want to book time to talk or interview with Brent Feske about his new role, then let us help - simply click on his icon now or contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.

When an invitation to sit on the Georgia Governor’s Council of Economic Advisers arrived in an informal email from a colleague, Michael Toma, Ph.D., welcomed the chance to share his ongoing research on the economic health of southeastern Georgia with Gov. Brian Kemp, the Georgia House of Representatives and Senate leadership and their constituents. However, when he joined a small group of colleagues from around the state in a legislative office near the capitol in Atlanta late last year, the opportunity felt far from casual. “It does seem like it’s an honor because I looked around the table and there were only 10 or so of us from the entire state of Georgia,” said Toma, the Fuller E. Callaway professor of economics in Georgia Southern University’s Parker College of Business. “It’s nice to be invited to join this council informing the executive and legislative branches of government about economic conditions in the state of Georgia. I know the southeastern part of the state, so it’s nice to be recognized and be invited to speak about this region to a state-level audience.” The Governor’s Council of Economic Advisers is a select group of mostly higher education economists from various University System of Georgia institutions, in addition to the chief economist from Georgia Power, who meet annually. Toma, who specializes in macroeconomics and regional economics, is well known for his expertise throughout Savannah and the surrounding region. Since 2000, he has written and distributed The Economic Monitor, a quarterly publication housed within Georgia Southern’s Economics Department and Center for Business Analytics and Economic Research. The economic analysis offers a snapshot of the Savannah Metropolitan Statistical Area economy, including Bryan, Chatham and Effingham counties, and informs business owners across the Coastal Empire. He also regularly speaks to chambers of commerce and business groups in the region. In the governor’s council meeting, which was televised to state legislators, the economists took turns speaking about their respective areas of expertise to Gov. Kemp as part of an educational process and annual update for the executive and legislative branches. “The academics from the different institutions discussed economic conditions in their regions of the state,” Toma said. “I highlighted the activity here in Savannah, the growing manufacturing base and the wages associated with the Hyundai plant being injected into the regional economy, and the build-out of the supply chain for the Hyundai plant. “I discussed manufacturing development in the context of broader economic growth within the region that’s layered on top of our normal growth pattern, and that the economic development initiative is starting to pay the dividends it was anticipated to pay.” Following each individual presentation, the governor held an open forum for all in attendance to speak more fluidly with the group. “He had questions for the panel in general about small business activity,” stated Toma. “So I was able to characterize the ecosystem for small businesses in Chatham County. “He said that was a great report.” Toma holds a Ph.D. in economics from George Mason University. He joined Georgia Southern on the Armstrong Campus in Savannah in 1997. If you're interested in learning more about this topic and want to book time to talk or interview with Michael Toma then let us help - simply click on his icon now or contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.
Georgia Southern’s Shainaz Landge receives Regents’ Scholarship of Teaching and Learning Award
For Shainaz Landge, Ph.D., pushing boundaries in the classroom and the laboratory isn’t just a professional pursuit, it’s a passion. As an associate professor of organic chemistry at Georgia Southern University, Landge has spent more than a decade inspiring students to soar beyond traditional learning by blending research, mentorship and hands-on experiences that extend far beyond textbooks. That commitment to innovation has earned Landge the Regents’ Scholarship of Teaching and Learning Award, an honor from the University System of Georgia (USG) that recognizes faculty who contribute to the scholarship of teaching and learning through research, leadership and instructional excellence. “Receiving the Regents’ Scholarship of Teaching and Learning Award is a true honor,” said Landge. “It reinforces my passion for teaching and research, inspiring me to strive for excellence every day. My goal is to cultivate an engaging, positive learning environment where students are actively involved and genuinely excited about the learning process.” Landge’s work is grounded in synthetic organic, medicinal and supramolecular chemistry. Her research focuses on developing novel synthetic methodologies with applications in medicinal chemistry and materials science, creating compounds with potential therapeutic properties and supramolecular systems with unique functionalities. “This award is a reflection of Dr. Landge’s deep passion for education and research, and her ability to inspire students to think critically and engage meaningfully with the world around them,” said Provost and Executive Vice President for Academic Affairs Carl Reiber, Ph.D. “At Georgia Southern, we are dedicated to fostering an environment of discovery and innovation, and her work continues to elevate that mission, both in and out of the classroom. We are fortunate to have her as part of our academic community.” This isn’t the first time Landge’s dedication to student engagement and scientific inquiry has garnered recognition. Previously, she earned a University Award of Excellence for Student Success in 2021 and the College of Science and Mathematics Award of Excellence in Research in 2023. “This award is a testament to Dr. Landge’s exceptional contributions to the Scholarship of Teaching and Learning,” said Michael Huggins, Ph.D., dean of the College of Science and Mathematics. “Her innovative approach has not only deepened our understanding of effective teaching but has also led to measurable improvements in student outcomes across the College of Science and Mathematics.” In addition to her research and teaching, Landge has served as a Service-Learning Faculty Fellow (2023-2024) and is a current Research Advocate, reinforcing her commitment to bridging the gap between academic learning and real-world problem-solving. For more information about the Regents’ Scholarship of Teaching and Learning Award, visit : If you're interested in connecting with Shainaz Landge and learning more about her work then let us help - simply contact Georgia Southern's Director of Communications Jennifer Wise at jwise@georgiasouthern.edu to arrange an interview today.

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.






