Jeremy Kedziora, Ph.D.

Associate Professor Milwaukee School of Engineering

Milwaukee WI

Dr. Jeremy Kedziora is the PieperPower Endowed Chair of Artificial Intelligence at MSOE.

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Spotlight

Jul 12, 2024

3 min

Key topics at RNC 2024: Artificial Intelligence, Machine Learning and Cybersecurity

As the Republican National Convention 2024 begins, journalists from across the nation and the world will converge on Milwaukee, not only to cover the political spectacle but also to cover how the next potential administration will tackled issues that weren't likely on the radar or at least front and center last election: Artificial Intelligence, Machine Learning and Cybersecurity With technology and the threats that come with it moving at near exponential speeds the next four years will see challenges that no president or administration has seen before. Plans and polices will be required that impact not just America but one a global scale. To help visiting journalists navigate and understand these issues and how and where the Republican policies are taking on these topics our MSOE experts are available to offer insights. Dr. Jeremy Kedziora, Dr. Derek Riley and Dr. Walter Schilling are leading voices nationally on these important subjects and are ready to assist with any stories during the convention. . . . Dr. Jeremy Kedziora Associate Professor, PieperPower Endowed Chair in Artificial Intelligence Expertise: AI, machine learning, ChatGPT, ethics of AI, global technology revolution, using these tools to solve business problems or advance business objectives, political science. View Profile “Artificial intelligence and machine learning are part of everyday life at home and work. Businesses and industries—from manufacturing to health care and everything in between—are using them to solve problems, improve efficiencies and invent new products,” said Dr. John Walz, MSOE president. “We are excited to welcome Dr. Jeremy Kedziora as MSOE’s first PieperPower Endowed Chair in Artificial Intelligence. With MSOE as an educational leader in this space, it is imperative that our students are prepared to develop and advance AI and machine learning technologies while at the same time implementing them in a responsible and ethical manner.” MSOE names Dr. Jeremy Kedziora as Endowed Chair in Artificial Intelligence MSOE online March 22, 2023 . . . Dr. Derek Riley Professor, B.S. in Computer Science Program Director Expertise: AI, machine learning, facial recognition, deep learning, high performance computing, mobile computing, artificial intelligence View Profile “At this point, it's fairly hard to avoid being impacted by AI," said Derek Riley, the computer science program director at Milwaukee School of Engineering. “Generative AI can really make major changes to what we perceive in the media, what we hear, what we read.” Fake explicit pictures of Taylor Swift cause concern over lack of AI regulation CBS News January 26, 2024 . . . Dr. Walter Schilling Professor Expertise: Cybersecurity and the latest technological advancements in automobiles and home automation systems; how individuals can protect their business operations and personal networks. View Profile Milwaukee School of Engineering cybersecurity professor Walter Schilling said it's a great opportunity for his students. "Just to see what the real world is like that they're going to be entering into," said Schilling. Schilling said cybersecurity is something all local organizations, from small business to government, need to pay attention to. "It's something that Milwaukee has to be concerned about as well because of the large companies that we have headquartered here, as well as the companies we're trying to attract in the future," said Schilling. Could the future of cybersecurity be in Milwaukee?: SysLogic holds 3rd annual summit at MSOE CBS News April 26, 2022 . . . For further information and to arrange interviews with our experts, please contact: Media Relations Contact To schedule an interview or for more information, please contact: JoEllen Burdue Senior Director of Communications and Media Relations Phone: (414) 839-0906 Email: burdue@msoe.edu . . . About Milwaukee School of Engineering (MSOE) Milwaukee School of Engineering is the university of choice for those seeking an inclusive community of experiential learners driven to solve the complex challenges of today and tomorrow. The independent, non-profit university has about 2,800 students and was founded in 1903. MSOE offers bachelor's and master's degrees in engineering, business and nursing. Faculty are student-focused experts who bring real-world experience into the classroom. This approach to learning makes students ready now as well as prepared for the future. Longstanding partnerships with business and industry leaders enable students to learn alongside professional mentors, and challenge them to go beyond what's possible. MSOE graduates are leaders of character, responsible professionals, passionate learners and value creators.

Jul 15, 2024

1 min

Ethical Implications of AI in Business: Balancing Innovation with Responsibility

Artificial Intelligence (AI) has revolutionized the business landscape, driving innovation and reshaping industries. From automating routine tasks to enhancing customer experiences, AI's applications are vast and rapidly expanding. As businesses stand on the brink of unprecedented technological advancement, they must also navigate the complex web of ethical implications associated with AI deployment. This delicate balance between innovation and responsibility sets the stage for an ongoing dialogue that is crucial for sustainable growth and societal well-being. Dr. Jeremy Kedziora, associate professor and the PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering (and former CIA chief methodologist), is available to discuss how these new technologies are enhancing business operations along with their ethical implications: Automating tasks using AI Using large language models like ChatGPT Algorithmic bias in AI systems Transparency in AI decision-making processes Steps needed to create fair and equitable AI solutions

Mar 31, 2023

4 min

Ask an Expert: Is the "AI Moratorium" too far reaching?

Recent responses to chatGPT have featured eminent technologists calling for a six-month moratorium on the development of “AI systems more powerful than GPT-4.” Dr. Jeremy Kedziora, PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering, supports a middle ground approach between unregulated development and a pause. He says, "I do not agree with a moratorium, but I would call for government action to develop regulatory guidelines for AI use, particularly for endowing AIs with actions." Dr. Kedziora is available as a subject matter expert on the recent "AI moratorium" that was issued by tech leaders. According to Dr. Kedziora: There are good reasons to call for additional oversight of AI creation: Large deep or reinforcement learning systems encode complicated relationships that are difficult for users to predict and understand. Integrating them into daily use by billions of people implies some sort of complex adaptive system in which it is even more difficult for planners to anticipate, predict, and plan. This is likely fertile ground for unintended – and bad – outcomes. Rather than outright replacement, a very real possibility is that AI-enabled workers will have sufficiently high productivity that we’ll need less workers to accomplish tasks. The implication is that there won’t be enough jobs for those who want them. This means that governments will need to seriously consider proposals for UBI and work to limit economic displacement, work which will require time and political bargaining. I do not think it is controversial that we would not want a research group at MIT or CalTech, or anywhere developing an unregulated nuclear weapon. Given the difficulty in predicting its impact, AI may well be in the same category of powerful, suggesting that its creation should be subject to the democratic process. At the same time, there are some important things to keep in mind regarding chatGPT-like AI systems that suggest there are inherent limits to their impact: Though chatGPT may appear–at times–to pass the famous Turing test, this does not imply these systems ’think,’ or are ’self-aware,’ or are ’alive.’ The Turing test aims to avoid answering these questions altogether by simply asking if a machine can be distinguished from a human by another human. At the end of the day, chatGPT is nothing more than a bunch of weights! Contemporary AIs–chatGPT included–have very limited levers to pull. They simply can’t take many actions. Indeed, chatGPT’s only action is to create text in response to a prompt. It cannot do anything independently. Its effects, for now, are limited to passing through the hands of humans and to the social changes it could thereby create. The call for a moratorium emphasizes ‘control’ over AI. It is worth asking just what this control means. Take chatGPT as an example–can its makers control responses to prompts? Probably only in a limited fashion at best, with less and less ability as more people use it. There simply aren’t resources to police its responses. Can chatGPT’s makers ‘flip the off switch?’ Absolutely – restricting access to the API would effectively turn chatGPT off. In that sense, it is certainly under the same kind of control humans subjected to government are. Keep in mind that there are coordination problems – just because there is an AI moratorium in the US does not mean that other countries–particularly US adversaries– will stop development. And as others have said: “as long as AI systems have objectives set by humans, most ethics concerns related to artificial intelligence come from the ethics of the countries wielding them.” There are definitional problems with this sort of moratorium – who would be subject to it? Industry actors? Academics? The criterion those who call for the moratorium use is “AI systems more powerful than GPT-4.” What does “powerful” mean? Enforcement requires drawing boundaries around which AI development is subject to a moratorium – without those boundaries how would such a policy be enforced? It might already be too late – some already claim that they’ve recreated chatGPT. There are two major groups to think about when looking for develop regulatory solutions for AI: academia and industry. There may already be good vehicles for regulating academic research, for example oversight of grant funding. Oversight of AI development in industry is an area that requires attention and application of expertise. If you're a journalist covering Artificial Intelligence, then let us help. Dr. Kedziora is a respected expert in Data Science, Machine Learning, Statistical Modeling, Bayesian Inference, Game Theory and things AI. He's available to speak with the media simply click on the icon now to arrange an interview today.

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Dr. Jeremy Kedziora: Milwaukee Commerce Magazine

Education, Licensure and Certification

Ph.D.

Political Science

University of Rochester

2012

B.S.

Chemistry and Political Science

University of Wisconsin–Madison

2004

Biography

Dr. Jeremy Kedziora is an award-winning researcher and scientist with 17 years of experience developing new methods in machine learning, Bayesian inference, and game theory. Previously, Kedziora was a director of data science and analytics at Northwestern Mutual, where he managed the development of cybersecurity machine learning and at Giant Oak where he focused on natural language processing.

Kedziora also served for nine years at the Central Intelligence Agency as a chief methodologist where he led applied R&D efforts in data science and modeling. He holds a Ph.D. in Political Science from the University of Rochester and teaches at Milwaukee School of Engineering, where he is the PieperPower Endowed Chair for Artificial Intelligence.

Areas of Expertise

Data Science

Machine Learning

Statistical Modeling

Bayesian Inference

Game Theory

Accomplishments

Directors Award, Central Intelligence Agency

2011, 2014, 2017

Cutting Edge Innovation Award, Central Intelligence Agency

2017

Paper of the Year, Central Intelligence Agency

2017

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Affiliations

American Political Science Association
International Studies Association
Midwest Political Science Association
Peace Science Society
Society for Political Methodology

Social

Media Appearances

The experts weigh in: AI brings limitless possibility, challenges to address

Milwaukee Metropolitan Association of Commerce print

2024-04-01

Leading A.I. experts in Milwaukee address the possibilities--and challenges--that artificial intelligence poses to business operations.

Pair of task forces seeks to answer 'hard questions' about regulating artificial intelligence

Wisconsin State Journal print

2023-09-06

Dr. Jeremy Kedziora weighs in on need for government regulation of artificial intelligence.

MSOE names Dr. Jeremy Kedziora as Endowed Chair in Artificial Intelligence

MSOE News online

2023-03-22

Jeremy Kedziora, Ph.D. has been named the PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering.

“Artificial intelligence and machine learning are part of everyday life at home and work. Businesses and industries—from manufacturing to health care and everything in between—are using them to solve problems, improve efficiencies and invent new products,” said Dr. John Walz, MSOE president. “We are excited to welcome Dr. Jeremy Kedziora as MSOE’s first PieperPower Endowed Chair in Artificial Intelligence. With MSOE as an educational leader in this space, it is imperative that our students are prepared to develop and advance AI and machine learning technologies while at the same time implementing them in a responsible and ethical manner.”

The PieperPower Endowed Chair in Artificial Intelligence was made possible through a $2.5 million gift from Pieper Electric Inc. and the PPC Foundation Inc. This new role at MSOE further positions the university at the forefront of artificial intelligence education and next generation technologies.

Kedziora will hold a full-time faculty position in the Electrical Engineering and Computer Science Department at MSOE and will pursue research advancing the interaction of artificial intelligence with humans and its potential impact.

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Selected Publications

Systematic review on effects of bioenergy from edible versus inedible feedstocks on food security

npj Science of Food

Ahmed, Selena, Teresa Warne, Erin Smith, Hannah Goemann, Greta Linse, Mark Greenwood, Jeremy Kedziora et al.

2021

Achieving food security is a critical challenge of the Anthropocene that may conflict with environmental and societal goals such as increased energy access. The "fuel versus food" debate coupled with climate mitigation efforts has given rise to next-generation biofuels. Findings of this systematic review indicate just over half of the studies (56% of 224 publications) reported a negative impact of bioenergy production on food security. However, no relationship was found between bioenergy feedstocks that are edible versus inedible and food security (P value = 0.15). A strong relationship was found between bioenergy and type of food security parameter (P value < 0.001), sociodemographic index of study location (P value = 0.001), spatial scale (P value < 0.001), and temporal scale (P value = 0.017). Programs and policies focused on bioenergy and climate mitigation should monitor multiple food security parameters at various scales over the long term toward achieving diverse sustainability goals.

Organizing for violence

University of Rochester

Kedziora, J.T.

2013

This dissertation consists of three essays that analyze the emergence of the state and how the logic of its organization shapes its major pursuit: war. In the first essay, I develop a theory of state formation in which a sovereign must delegate policy implementation to local barons, aware that doing so empowers those barons to act against him. I find that militarily weak sovereigns construct federations by relying on barons whose policy preferences mirror their own while militarily strong sovereigns construct centralized states by relying on barons whose policy preferences are far from their own. My second essay analyzes how rulers formulate war aims given the need to bargain with subjects over wartime resource allocation. I find that the relationship between the effect of military victory on the future course of the war and the effect of military victory on diplomacy emerges as the central factor influencing both subject resolve and ruler war aims. This logic suggests a number of important substantive results, for example, that democracies extract more resources during capital intensive wars while autocracies extract more resources during labor intensive wars, and that material inequality limits war aims. In the final essay I leverage the importance of bargaining between ruler and subject in wartime resource allocation to advance a Bayesian methodology for measuring the uncertainty facing states involved in disputes over the war-fighting capabilities of their opponents. I then analyze the probability of a militarized interstate dispute escalating to war and find that it increases greatly in the presence of uncertainty over capabilities/resolve.