Meta Platforms has agreed to pay roughly $25 million to settle a 2021 lawsuit that President Trump brought against the company and its CEO after the social-media platform suspended his accounts following the attack on the U.S. Capitol that year, according to people familiar with the agreement.
Mark Zuckerberg's Meta is terminating major DEI programs, effective immediately — including for hiring, training and picking suppliers, according to a new employee memo obtained by Axios.
The U.S. House of Representatives voted on Thursday to sanction the International Criminal Court to protest its issuing arrest warrants for Israeli Prime Minister Benjamin Netanyahu and his former defense minister over Israel's campaign in Gaza.
This paper examines ‘open’ artificial intelligence (AI). Claims about ‘open’ AI often lack precision, frequently eliding scrutiny of substantial industry concentration in large-scale AI development and deployment, and often incorrectly applying understandings of ‘open’ imported from free and open-source software to AI systems. At present, powerful actors are seeking to shape policy using claims that ‘open’ AI is either beneficial to innovation and democracy, on the one hand, or detrimental to safety, on the other. When policy is being shaped, definitions matter. To add clarity to this debate, we examine the basis for claims of openness in AI, and offer a material analysis of what AI is and what ‘openness’ in AI can and cannot provide: examining models, data, labour, frameworks, and computational power. We highlight three main affordances of ‘open’ AI, namely transparency, reusability, and extensibility, and we observe that maximally ‘open’ AI allows some forms of oversight and experimentation on top of existing models. However, we find that openness alone does not perturb the concentration of power in AI. Just as many traditional open-source software projects were co-opted in various ways by large technology companies, we show how rhetoric around ‘open’ AI is frequently wielded in ways that exacerbate rather than reduce concentration of power in the AI sector.