[This opportunity is not affiliated with the Department, Faculty of Arts & Science, or University of Toronto. Registration fees may apply. We share this opportunity at the request of the organizers in case it is of interest to our student body. Participation is as the sole discretion of the individual.]
CHAI Internship Opportunity
• Link to internship: https://humancompatible.ai/jobs#internship
• Early deadline is 11/23. Normal deadline is 12/13
More information about the internship: CHAI interns work on a research project supervised, and typically proposed, by a mentor. Most projects are primarily executed by the intern, while the mentor provides advice and guidance; these are typically published as first-author workshop papers. On occasion, a mentor may propose a more team-based project that they or other interns are also executing on; these are typically published as conference papers. In addition, interns are encouraged to participate in other activities in CHAI, such as our weekly seminars, annual workshop and team socials.
More information about CHAI in general: CHAI’s goal is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.
Artificial intelligence research is concerned with the design of machines capable of intelligent behavior, i.e., behavior likely to be successful in achieving objectives. The long-term outcome of AI research seems likely to include machines that are more capable than humans across a wide range of objectives and environments. This raises a problem of control: given that the solutions developed by such systems are intrinsically unpredictable by humans, it may occur that some such solutions result in negative and perhaps irreversible outcomes for humans. CHAI’s goal is to ensure that this eventuality cannot arise, by refocusing AI away from the capability to achieve arbitrary objectives and towards the ability to generate provably beneficial behavior. Because the meaning of beneficial depends on properties of humans, this task inevitably includes elements from the social sciences in addition to AI.