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.

IIT Dharwad has opened applications for a free one-year Artificial Intelligence Technocrat program under India's PM VIKAS scheme. The training is aimed at graduates aged 18 to 45 from six notified minority communities: Muslims, Christians, Sikhs, Buddhists, Jains and Parsis. Up to 15 percent of places may go to economically weaker applicants outside those communities, while 33 percent are reserved for women. Selected students receive training, certification, hostel access where applicable and a monthly stipend of Rs 1,000 paid directly by the Ministry of Minority Affairs. Candidates must submit identity, education, bank and community documents and pass a screening process. Applications close August 31.

The program treats access to AI as a matter of social policy rather than personal consumption. A chatbot account can make the technology appear universally available, yet the jobs surrounding it still require time, instruction, housing, credentials and enough income to remain in training for a year. The stipend is modest, but its presence admits that learning has a cost borne unevenly by students. The reservation rules place religious identity, gender and household income inside a technical classroom often described through merit alone. IIT Dharwad is therefore building a small public route into an industry dominated by private capital and expensive education. Its success will be measured after the course, when graduates need placements that convert a certificate and twelve monthly payments into durable work.

Twitch has enabled a setting that allows Amazon, its owner, to use channel content for training generative AI models. The permission covers streams, clips, images, audio, chats and other material unless a user finds the control in the Streamer Dashboard and turns it off. Twitch says the data will not be resold to outside companies and gives automatic subtitles as one possible use. Chief product officer Mike Minton explained the default with unusual candor. If participation required an active choice, he said, nobody would opt in. Twitch has not said when collection began, and Minton said he did not know what Amazon had already used for model training.

The switch gives creators a formal refusal while the interface arranges participation in advance. A person who never visits the security and privacy menu still supplies a decision through inaction. That design is valuable because a live platform contains voices, gestures, gameplay, conversations and audience reactions gathered at enormous scale. Each stream was made for viewers in a specific moment, yet the default treats it as potential raw material for another product. Twitch community head Mary Kish said data collection for AI training had become an industry standard and did not expect users to welcome it. Some users also reported that the switch appeared on again after they disabled it. Their immediate task was therefore to return to the menu and check whether refusal had remained saved.