• Understand and critically evaluate: 
  • The ethical and social implications of emerging AI technologies
  • Differences between AI models like regressions, neural networks and decision trees, and their implications, and 
  • Different learning models for AI, such as supervised, unsupervised, adversarial, and so on
• Investigate how AI ethics could become part of your academic research, and discover how your research can meaningfully inform the public debate on AI Ethics, or provide an entryway into various career paths in the public and private sectors;
• Gain practical insights into the tech industry and technology policy-making
• Acquire relevant professional skills 

“I've seen the A.I. Ethics cohort transform how graduate students think about their future careers—both in academia, and in the growing space of corporate research on the ethical implications of A.I. Each year it's an impressive inter-disciplinary group, bringing computer scientists, engineers, sociologists, psychologists, legal scholars and others together with ethicists. And we all leave the room with new questions to ask about our own disciplines!” 

–Steven Kelts, Lecturer, University Center for Human Values

"The GradFUTURES AI Ethics Learning Cohort introduced me to machine learning and its wide-ranging social implications. Through the program, I learned to think more rigorously about the application of technology to various real-life scenarios. It’s provided an ethical lens for me to think critically about how our tools shape us. One of my projects as a Responsible AI Institute GradFUTURES Fellow involved assisting the Department of Defense with a project to integrate responsible AI practices into its procurement process. This opportunity gave me the chance to direct my graduate studies towards helping an institution with a relatively under-the-radar but pressing issue."
 

–Lynne Guey, Graduate Student, SPIA