ΑΙhub.org
 

AI regulations are a global necessity, panelists say


by
22 June 2022



share this:
Earth network

By Megan DeMint

In a Cornell China Center (CCC) webinar held on May 27, legal scholars based in China, Switzerland, and the United States surveyed artificial intelligence (AI) regulation across the world, identifying strategic similarities and local distinctions. The event brought together more than 150 attendees across time zones for a conversation spanning intellectual property, disability rights, and global regulation benchmarks.

“We all face some common challenges,” said Rui Guo (Renmin University of China). Guo, a law professor whose research focuses on stereotypes and AI fairness, was one of four panelists addressing the complex challenges that AI introduces within societies at both the local and global levels.

“Some of the more local problems, like stereotypes in one society, may be intensified in a new technological context that may need the local to be responding more actively,” said Guo. “I think both local and global regulation are needed to deal with the bigger challenges.”

Rostam Neuwirth (University of Macau) analyzed the local versus global implications of European Union regulations. The EU’s General Data Protection Regulation, for instance, has set world standards, while a proposed artificial intelligence act introduces a new set of regulatory challenges.

The act would limit AI from deploying “subliminal techniques” that subtly influence or manipulate users. But where do we draw the line, Neuwirth asked? There is no absolute threshold that can be universally recommended to regulate AI, he argued, because each individual is unique in terms of how they may perceive information or be influenced.

Xiaoping Wu (World Trade Organization) and Linghan Zhang (visiting scholar, Cornell Law School) presented additional perspectives on AI regulation, speaking to issues of intellectual property and algorithm supervision in China.

“The Cornell China Center serves as a bridge between Cornell and China,” said Ying Hua, director of the China Center and associate professor in the College of Human Ecology. “We facilitate research collaborations with the goal to bring the best minds together to work on significant challenges that face the world.”

CCC offers grants to support research led by faculty based at Cornell and major university partners in China, including annual seed fund and China Innovation Grants.

Hua co-moderated the panel discussion with Xingzhong Yu, the Anthony W. and Lulu C. Wang Professor of Chinese Law at Cornell Law School.




Cornell University




            AIhub is supported by:


Related posts :



Generative AI is already being used in journalism – here’s how people feel about it

  21 Feb 2025
New report draws on three years of interviews and focus group research into generative AI and journalism

Charlotte Bunne on developing AI-based diagnostic tools

  20 Feb 2025
To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.

What’s coming up at #AAAI2025?

  19 Feb 2025
Find out what's on the programme at the 39th Annual AAAI Conference on Artificial Intelligence

An introduction to science communication at #AAAI2025

  18 Feb 2025
Find out more about our forthcoming training session at AAAI on 26 February 2025.

The Good Robot podcast: Critiquing tech through comedy with Laura Allcorn

  17 Feb 2025
Eleanor and Kerry chat to Laura Allcorn about how she pairs humour and entertainment with participatory public engagement to raise awareness of AI use cases

Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies

  14 Feb 2025
Hear from Doctoral Consortium participant Kayla about her work focussed on explanations for multi-agent reinforcement learning, and human-centric explanations.

The Machine Ethics podcast: Running faster with Enrico Panai

This episode, Ben chats to Enrico Panai about different aspects of AI ethics.

Diffusion model predicts 3D genomic structures

  12 Feb 2025
A new approach predicts how a specific DNA sequence will arrange itself in the cell nucleus.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association