OpenAI has awarded grants to 14 organizations that will study how public policy should respond to advanced artificial intelligence. The company will distribute $1 million in cash and up to $1 million in API credits across six-month projects in the United States, European Union, Brazil, Singapore and South Korea. The selected work covers worker benefits, taxation, productive ownership, data-center energy, clinical infrastructure, government simulations, legislative oversight, biosecurity and uncontrolled self-improving systems. OpenAI chose the recipients from over 400 proposals, and results are expected in 2027. The organizations are described as independent, while their money and computing access come from a company whose products and expansion some of them may evaluate.

Funding research also selects which questions receive staff, meetings, datasets, prototypes and a place on policy calendars. OpenAI says democratic institutions should shape the response to AI, yet this program gives the company an earlier role in deciding which approaches enter that debate with resources attached. The roster includes the Tax Foundation, the American Enterprise Institute, a Brazilian public hospital and groups working on nuclear and biological risk. Sponsorship does not invalidate their work. It creates a relationship that every final report must make legible. Readers will need the cash award, API credits, model access, contractual limits and any review rights OpenAI retained before publication. Those disclosures should appear beside the findings rather than remain inside the grant agreement.

Spotify will begin marking artist profiles that represent AI-generated identities with an AI Persona badge in mid-September. The label will appear on profile banners and About sections, in search results and beside tracks in playlists. Artists can disclose their synthetic identity through Spotify for Artists, but the company will also review names and profile images and apply the badge itself. A labeled artist can appeal that decision. The badge concerns the public identity presented by the profile. Spotify's separate AI Credits field covers how generative tools were used to make the music. By default, AI Persona profiles will be excluded from editorial and algorithmic recommendations. Their tracks can reach a listener who follows the profile or deliberately searches for it.

The policy creates a class of performer whose recordings can remain available while ordinary circulation is restricted because the face and biography do not belong to a person. That distinction responds to projects such as The Velvet Sundown, an AI band presented as human that accumulated millions of streams. It also gives Spotify authority to decide whether a photorealistic portrait, name and public history amount to an authentic artist. A label may protect listeners from impersonation, yet the decisive action occurs inside the recommendation system. The profile stays searchable while disappearing from Discover Weekly, editorial playlists and other automated routes unless a listener has already chosen to follow it.

South Korean lawmaker Lee Hae-min introduced a three-bill package on August 14 that would make companies contribute to a public fund when AI or automation significantly reduces employment or replaces work. Democratic Party lawmaker Lee Ju-hee joined as co-sponsor. The proposed AI Transition Basic Society Act would use the money for retraining, job changes, reemployment and minimum-income support. Regions hit by concentrated disruption could become transition zones. Employers would have to prepare retraining and role-change plans and, when workforce changes pass a set scale, notify workers and consult them in advance. Companies maintaining employment or adding jobs could receive reductions, exemptions or tax support. The levy rate and operational thresholds remain unsettled, and the bills must pass the National Assembly.

The proposal gives automation a payer. Companies often describe job cuts as an inevitable consequence of software, allowing responsibility to drift toward the vendor, the market or the future. This package keeps the account with the employer that reorganizes its workforce and receives the productivity gain. Attribution will remain difficult because demand can fall, departments can merge and managers can invoke AI before a system performs the work. A levy therefore depends on records connecting a deployment to eliminated roles. South Korea's proposal places that argument before workers are dismissed by requiring notice and consultation. If adopted, an automation plan would have to include the cost of the people it removes from the payroll.