In a recent move, Meta, the social media giant, has reportedly dissolved its division responsible for overseeing the regulation of its artificial intelligence (AI) initiatives during their development and deployment stages. According to reports, many members of Meta‘s responsible AI division have transitioned into roles within the company’s generative AI product division, with some also joining the AI infrastructure team.
Established in February, Meta’s generative AI team is dedicated to creating products that can generate language and images, mimicking human-made versions. This shift comes as various tech companies invest heavily in machine learning development to stay competitive in the rapidly evolving AI landscape. Meta, like other major tech players, has been striving to catch up since the AI boom gained momentum.
This restructuring aligns with Meta’s broader initiative termed the “year of efficiency,” as mentioned by CEO Mark Zuckerberg in a February earnings call. This initiative has manifested in company layoffs, team mergers, and redistributions aimed at streamlining operations.
Ensuring the safety of AI has become a priority for leading companies, especially as regulators and officials focus more on the potential risks associated with this emerging technology. In July, Anthropic, Google, Microsoft, and OpenAI collaborated to form an industry group dedicated to establishing safety standards as AI continues to advance.
According to reports, while the responsible AI division team members have been reassigned within the company, their commitment to supporting responsible AI development and use remains unwavering. The company continues to emphasize ongoing investment in this area.
Meta recently introduced two AI-powered generative models. The first, called Emu Video, builds on Meta’s previous Emu model and can generate video clips based on text and image inputs. The second model, Emu Edit, focuses on image manipulation, promising greater precision in image editing. These advancements underscore Meta’s ongoing efforts in the dynamic field of artificial intelligence.
