黑料专区

DJ Patil, general partner of GreatPoint Ventures and former U.S. chief data scientist delivered a keynote address and held a fireside chat with聽Theresa Mayer(opens in new window), CMU vice president for research, on the conference鈥檚 first day.

, assistant professor of philosophy in the聽Dietrich College of Humanities and Social Sciences(opens in new window), spoke on a panel that explored the new ethical concerns that arise with GenAI compared to conventional predictive AI. 鈥淭he question of what are the measurement challenges when we want to enforce and implement AI risk governance frameworks are quite important,鈥� she said 鈥淚 hope that in the next year you are going to see much more mature analysis of this question.鈥� She was joined on stage by David Danks of the University of California, San Diego; Francesca Rossi, IBM AI ethics global leader; and panel moderator Sina Fazelpour of Northeastern University.听

Mike Doyle, former U.S. representative from Pennsylvania鈥檚 18th congressional district and government affairs counselor at K&L Gates, moderated a panel on existing government policies and guidance on GenAI with Jesse Dunietz, AI standards, policy and international engagement lead for the聽National Institute of Standards and Technology; Marc Rotenberg, executive director of the Center for AI and Digital Policy; and Max Katz, policy adviser for U.S. Sen. Martin Heinrich.听

Lorrie Cranor(opens in new window), FORE Systems University Professor of Computer Science and Engineering and Public Policy and director and Bosch Distinguished Professor in Security and Privacy Technologies at 黑料专区鈥橲聽 moderated a debate exploring internal organizational government structures in major AI firms.

鈥淚f we鈥檙e going to have systems that can replace what a person could do over a year, that opens up a mind-boggling array of possibilities in terms of risk,鈥� observed聽Zico Kolter(opens in new window), professor and director of the聽. 鈥淭hese questions still feel a聽 little like science fiction. But these are genuine concerns and we don鈥檛 have as much time as we think before they come to pass.鈥澛�

笔谤辞惫辞蝉迟听James H Garrett Jr.听(opens in new window)opened day two of the conference, which focused on the practical implementation of AI governance and the concrete impacts of the technology that are already manifesting themselves in education, health care, the workforce and beyond.听

鈥淭he theme of AI ethics and governance deeply aligns with Carnegie Mellon鈥檚 institutional mission,鈥� he said. 鈥淲e鈥檙e committed to not only advancing technological frontiers, but also ensuring these advancements serve humanity ethically and responsibly.鈥澛�

Carolyn Austin, director of practice innovation at K&L Gates, said while GenAI is being increasingly adopted by lawyers and law firms to enhance productivity, it does not absolve them of their legal and ethical responsibilities. 鈥淟awyers have duties, including confidentiality, clear communication with clients, and partners have a duty to supervise lawyers and others reporting to them in their teams when they are carrying out the work, including appropriate use of generative AI technology. On the flip side, lawyers also have a duty of competence, which explicitly includes understanding the capacity and limitations of technology, including GenAI, and periodically updating that understanding. We can鈥檛 opt out. All of which underlines the need for thoughtful, internal AI governance policies and processes and for regular, thorough and targeted GenAI education.鈥澛�

Richard Scheines(opens in new window), dean of Dietrich College, moderated a fireside chat with Natasha Crampton, chief responsible AI officer for Microsoft. 鈥淔irst, it is the case, and this is very much my experience, that good governance is actually just good business,鈥� Crampton said in response to a question about the potential for financial incentives to lead to unethical behavior in the AI industry. 鈥淏ut this is why, you know, it should not just be an industry endeavor, right? This is where academia plays a very important role. Governments play a very important role. Civil society plays an important role. There has to be a coming together of incentives to drive action across all of those players.鈥�

惭辞诲别谤补迟辞谤听, professor in computer science and CMU鈥檚聽 (HCII), led a conversation on the impacts of GenAI in education, employment, medicine and the environment with聽, assistant professor in HCII;聽Marsha Lovett(opens in new window), vice provost for teaching and learning innovation at 黑料专区; and Shiv Rao, founder and CEO of Abridge.听

Forlizzi asked Lovett about how to best incorporate AI when training new employees. She said it is important to examine both performance and learning outcomes.

鈥淎 learner may be able to perform better with the aid of an AI tool. It's a totally different question whether they have learned more with that AI tool,鈥� Lovett said.听