Meta Dissolves Responsible AI Division Amid Restructuring – Meta has supposedly dissolved its division overseeing the regulation of its AI projects during development and implementation. Reportedly, several members of Meta’s responsible AI division have shifted to positions within the company’s generative AI product division, while others have joined the AI infrastructure team.
Formed in February, Meta’s generative AI team concentrates on creating products that produce language and images, emulating their human-made counterparts. This initiative aligns with the broader trend in the tech industry, where companies are investing heavily in machine learning development to stay competitive in the rapidly advancing field of AI.
People Also Read: Sam Altman ousted as OpenAI’s CEO
Meta, along with other major tech players, is actively catching up following the surge in AI advancements. The reorganization coincides with the culmination of Facebook’s parent company’s proclaimed “year of efficiency,” as highlighted by CEO Mark Zuckerberg in a February earnings call. This period has witnessed a series of layoffs, team consolidations, and redistributions.
The emphasis on ensuring AI safety has gained prominence among leading players in the field. This is particularly notable as regulators and officials intensify their scrutiny of the potential risks associated with this emerging technology. In July, Anthropic, Google, Microsoft, and OpenAI collaborated to establish an industry group dedicated to defining safety standards as AI progresses. As per the report, team members from the responsible AI division have been reassigned within the company.
However, they maintain a dedicated commitment to promoting responsible AI development and usage, highlighting ongoing investments in this domain. Meta has recently unveiled two AI-powered generative models. The first, Emu Video, builds upon Meta’s previous Emu model, capable of producing video clips from text and image inputs. The second model, Emu Edit, concentrates on image manipulation, pledging increased precision in image editing.