Yann LeCun

I see the danger of this concentration of power through proprietary AI systems as a much bigger danger than everything else. What works against this is people who think that for reasons of security, we should keep AI systems under lock and key because it’s too dangerous to put it in the hands of everybody. That would lead to a very bad future in which all of our information diet is controlled by a small number of companies who proprietary systems. (source)

I believe the EU should not wait for a common agreement with the US and China before regulating AI. Each region has unique societal needs and values that should guide their AI policies. The EU can lead by example and establish frameworks that prioritize ethical AI development and innovation.

While interpretability in AI is important, imposing strict requirements on decision-making processes might hinder innovation. In many cases, the complexity that enables high performance can be inherently opaque. Rather than enforcing interpretability, we should focus on developing tools to better understand AI behavior without stifling progress.

While transparency is important, requiring model cards before commercial release could stifle innovation and impose unnecessary burdens on developers. Instead, developers should focus on responsible usage and improvements over time.

I believe that creating a global institute for AI safety may not be the most effective approach. Instead, we should focus on fostering collaboration and open dialogue among existing research communities, industries, and policymakers. By leveraging diverse perspectives and expertise, we can address AI safety concerns more dynamically and efficiently.

I believe that establishing international AI ethics boards could stifle innovation and slow down the progress of AI technology. Instead, we should encourage collaboration and open discussions among researchers, developers, and policymakers to create flexible guidelines that can adapt to the rapid pace of technological change.

The question of equitable access to AI technologies is complex. While it's important that all countries benefit from AI advancements, achieving this requires careful consideration of economic, ethical, and technical challenges. AI governance should promote innovation while addressing inequalities.