
Ethics of Data and Artificial Intelligence Certificate
At a Glance
Students will explore ethically and socially urgent questions like:
- How can we ensure that AI systems assess everyone in a just and unbiased way?
- Is it justifiable to base decisions about individuals on statistical generalizations?
- If AI outputs are not fully explainable, should they still be deployed?
- How important are long-term risks related to the safety of highly sophisticated future AI tools in comparison to other kinds of risks here and now?
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View the Certificate in the Guide
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Declare the Certificate
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Meet with the Certificate Advisor
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Why this certificate?
Learning Outcomes
- Interpret complex texts accurately and analyze them logically by identifying explicit and implicit background assumptions, and by understanding which conclusions necessarily follow from them.
- Communicate precisely and concisely in both writing and speech, in a way that adequately captures ethical nuances and ambiguities arising in AI design and deployment.
- Gain the basic statistical and/or conceptual tools necessary to grasp the moral, legal, political, or societal issues raised by data science and AI.
- Identify and evaluate the ethical, legal, and political implications of AI, as well as their historical and societal context.
- Demonstrate understanding of the distinctive value of humanistic inquiry into AI and data ethics as compared to, and in addition to, technical efforts to better understand and improve AI and other emerging technologies.
Interdisciplinary Skills for a Changing World
AI raises urgent moral and political questions that technical expertise—while undoubtedly important—cannot answer on its own. Technological know-how can tell us what AI systems can do, but not what they should do. Answering that requires training in normative reasoning, conceptual analysis, and the kind of systematic ethical thinking that philosophy has refined over centuries. Questions about justice, accountability, creativity, transparency, ownership, and privacy, about the opportunities and limits of both human and algorithmic decision-making, are not solely engineering problems; they are fundamentally philosophical ones.

Our certificate program trains students to bridge the disciplinary gap between the humanities and technical disciplines—an interdisciplinary skill set that is increasingly sought after across sectors. This is reflected in a striking trend in hiring. According to Indeed Hiring Lab, Ethical and Responsible AI job postings have been growing steadily, from practically non-existent in 2019 to almost 1% of all AI job postings by 2025. That doesn’t sound like a lot, but it equates to over 100,000 professionals with expertise in AI ethics and governance being sought annually.

People with interdisciplinary humanities training bring unique, highly sought-after skills to the table. There is growing expert agreement that acquiring an interdisciplinary skill set across technical and non-technical fields can be a good way to hedge against risks in an evolving labor force. And while the age of generative AI has certainly brought increased uncertainty into different job markets, the prospects of grads with a philosophy/ethics focus have actually experienced a positive trajectory in 2022-24: according to a study published in The Economist based on surveys of recent college graduates from the National Association of Colleges and Employers, the positive percentage change in employment was +4% for philosophers, while the change was negative for other fields more directly impacted by AI. Graduates of such our certificate program are well-positioned to pursue careers in the tech industry, in government and policy where AI regulation is a fast-moving frontier, or in journalism and media, as well as in sectors as varied as finance and education. For those with academic ambitions, the certificate also provides an excellent springboard to graduate study in one of today’s most intellectually exciting interdisciplinary fields.
Exploring the Ethics of Data and Artificial Intelligence Certificate
More questions? Email data-aiethicsadvising@wisc.edu

MEET WITH THE CERTIFICATE ADVISOR
Dylan Beschoner is the Academic Advisor for the Ethics of Data and AI Certificate. He earned a BA in Philosophy and Classical Studies from the University of Arkansas in 2014, and an MA in Philosophy from UW-Madison in 2017. He has more than a decade of experience teaching philosophy to students at UW-Madison.
His office is 5185A in Helen C White Hall. To set up a meeting with him, find him in Starfish or email him (data-aiethicsadvising@wisc.edu).
Certificate Requirements
Students must complete five courses worth a minimum of 3 credits each for a minimum total of 15 credits. Students must complete distinct courses in each requirement; they may not reuse courses to meet multiple requirements.
Questions about the Certificate
Questions about the certificate should be directed to Dylan Beschoner, the dedicated academic advisor for the certificate. You do not need to have already declared the certificate to meet with the advisor. Any interested student with questions about the certificate can schedule a meeting or reach out via email (data-aiethicsadvising@wisc.edu).
Planning your Certificate
The certificate advisor would be delighted to help you think about how to fit your certificate in with your other academic plans. Additionally, you should make use of tools in Course Search and Enroll, especially the Degree Planner. For more information about specific courses, you can also reach out to the departments that offer those courses.
Declaring the Certificate
Before students declare the certificate, they should complete one course from Foundation A (Philosophical Reasoning and Writing) and one course from Foundation B (Technical Basis), earning at least a B in each course. Then they should fill out the declaration form. Before declaring you should also have a tentative plan for how you will complete the certificate or an appointment with the advisor.
Do you want to do even more Philosophy?
Explore upcoming course offerings in Philosophy or consider declaring the major too!