Morality in Artificial Intelligence (FLI Fall 2021)
Recorded Wednesday, September 29, 2021
Session 1 of the Lifelong Learning Series: Artificial Intelligence
The intersection of computer science, philosophy and neuroscience is perhaps the most fascinating destination today for artificial intelligence researchers. Should AI adhere to the same moral principles as humans? If so, how do we successfully program it? If not, what moral code should AI follow? Join us for an overview of the social and ethical implications of artificially intelligent systems and how we can keep them accountable to our morals.
Moderator
• Walter Sinnott-Armstrong, Chauncey Stillman Distinguished Professor of Practical Ethics, Trinity College of Arts & Sciences
Speakers
• Vincent Conitzer, Professor of Computer Science, Economics, and Philosophy, Trinity College of Arts & Sciences
• Jana Schaich Borg, Associate Research Professor, Duke Social Science Research Institute
Recorded Wednesday, September 29, 2021
Session 1 of the Lifelong Learning Series: Artificial Intelligence
The intersection of computer science, philosophy and neuroscience is perhaps the most fascinating destination today for artificial intelligence researchers. Should AI adhere to the same moral principles as humans? If so, how do we successfully program it? If not, what moral code should AI follow? Join us for an overview of the social and ethical implications of artificially intelligent systems and how we can keep them accountable to our morals.
Moderator
• Walter Sinnott-Armstrong, Chauncey Stillman Distinguished Professor of Practical Ethics, Trinity College of Arts & Sciences
Speakers
• Vincent Conitzer, Professor of Computer Science, Economics, and Philosophy, Trinity College of Arts & Sciences
• Jana Schaich Borg, Associate Research Professor, Duke Social Science Research Institute
