Join Our Paper Club Event with Vijay Keswani on "On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods" [AI Tinkerers - Paper Club]

Join Our Paper Club Event with Vijay Keswani on "On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods"

Nov
05
Tuesday
Tuesday, November 5th, 2024 12PM to 1PM (EDT)
Virtual Meeting

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Attendees 174+ registered
Attendees include AI/ML leaders from Google, Amazon, and Anthropic, focusing on LLM safety, MLOps, and NLP, plus a contributor with 69 patents.

Join Our Paper Club Event Series! Meet with Vijay Keswani, AI Researcher, Duke University and discuss the problems of alignment and ethics in AI systems.

Don’t miss this unique opportunity: Hear directly from the researcher & join a live Q&A!

☝️ Register Above for this Live Virtual Meeting with the Researcher! ☝️

(Banner) A banner advertising a paper discussion on moral preferences with Duke University researchers, hosted by Paper Club and Human Feedback. Text: Moral Preferences Paper Discussion Stability of moral preferences w Duke University researchers November 5, 2024, 12 PM EST PAPER CLUB by SS Human Feedback modern, tech-inspired | Colors: #2e278b, #ffffff, #f25022 Note: The image is a promotional banner advertising an event. It features a title, event details, date, time, and organizers.

Info Details
Event Paper Club with Vijay Keswani on “On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods”
Date & Time November 5, 2024, 12:00 PM EST
Presenter Vijay Keswani, AI Researcher, Duke University
Research Paper 📄 On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods
Audio Version
By Paper2Audio

Meet the Researcher

Meet Vijay Keswani, AI researcher focused on algorithmic fairness, tech ethics, and community-oriented AI as a Postdoctoral Associate at Duke University. His research on the stability of moral preferences in AI systems investigates how moral preferences can change over time and the implications for AI tools that rely on these preferences.

Paper abstract:

Read the Paper: On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods

This paper examines the stability of moral preferences in participants, which is crucial for ethical AI frameworks that rely on preference elicitation to reflect stakeholders’ values.

Here’s a problem: Typically, surveys assessing moral judgments are administered once per participant, assuming responses are stable over time. However, little is known about how consistent these responses truly are. To investigate this, participants repeatedly answered the same moral questions—specifically about kidney allocation decisions—across ten sessions in two weeks, with only question order varying.

Findings showed that participants changed their responses 10-18% of the time, especially in controversial scenarios, with changes linked to response time and decision difficulty. This instability suggests that moral preference elicitation could misalign AI decision-making with stakeholders’ actual values, raising methodological concerns for AI ethics and value alignment.

What is Paper Club?

Paper Club is a virtual event series brought to you by the Human Feedback Foundation in collaboration with AI Tinkerers, featuring authors of cutting-edge AI and machine learning papers. These online meetups allow attendees to hear about groundbreaking research directly from the authors, participate in live Q&A sessions, and engage in discussions. Open to all, Paper Club offers a regular opportunity to learn and interact with leaders in the rapidly evolving field of artificial intelligence.

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