Ethics of AI Learning Cohort

Graduate students from the humanities and the sciences explore the intersection of ethics and artificial intelligence (AI) in a collaborative environment with academic researchers and industry leaders. Through presentations, case studies, short readings, debate and discussion, participants develop an awareness of the issues at stake. Graduate students will:

  • Understand and critically evaluate the ethical and social implications of emerging technologies related to artificial intelligence and machine learning;
  • Investigate how their personal research background can meaningfully inform the public debate on AI Ethics, and how that research background may provide an entryway into non-academic career paths into the public and private sector;
  • Gain practical insights into (i) the tech industry and into (ii) technology policy-making, and practice non-academic skills required for successfully engaging with (i) and (ii), for instance by attending relevant events and conferences, writing for a non-academic audience, and pursuing job and internship opportunities related to AI Ethics.

Co-sponsored by the Office of the Dean of the Graduate School, the Center for Human Values, and the Center for Information Technology Policy

Ethics of AI Participants

  • Annette Zimmerman

    "The GradFUTURES Learning Cohort on the Ethics of Artificial Intelligence has been a platform for many illuminating and inspiring conversations...
  • Honchan "Sonny" Kim, GS, POL

    "I really enjoyed thinking through these important issues in a room full of people from different disciplines. I learned a lot from our...
  • Jonathan Aguirre, GS, SPO

    • Jonathan Aguirre, GS, SPO
      • Professional Development Working Group Member
      • Participant, American Higher Ed GradFUTURES Learning Cohort
      • Participant, Ethics of AI GradFUTURES Learning Cohort
    "I've been most appreciative of the stimulating conversations that have motivated me to pursue research topics I would have never otherwise...
  • Joseph Avery, GS, PSY

    "I learned a lot, I met other students with similar interests, and I formed lasting relationships with experts in the respective fields."
  • Nicholas Turner, GS, COS

    "When thinking about moving into a career using these technologies, it's important to do that with a clear and broad perspective. The learning group...

Schedule:

Sept 17 – What is Ethics? What is AI Ethics?

Oct 1 – AI in Germany and tech-policy and Tech-Industry project discussion

Oct 15 – Fairness and Equality. Case Study: COMPAS

Oct 22 – Transparancy, Explainability, Uncertaintly.

Nov 5 – Value Alignment with Guest lecture, Dr. Iason Gabriel, DeepMind.

Nov 26 – Responsibility and Power

Dec 3 – Privacy

Dec 10 –  Individuals and Coporations