To drive adoption, the agenda suggests governments implement AI to improve public services while assisting small businesses and traditional industries in integrating AI. It argues that regulations should be calibrated to enable, not impede, AI adoption across sectors.
Through multi-pronged steps like content authentication and partnerships, Microsoft aims to promote secure and trustworthy elections.
This landmark directive aims not only to tap into the transformative potential of AI but also to ensure its responsible and secure development.
The plaintiffs seek damages of up to $150,000 per infringed work, plus profits, under the Copyright Act.
By emphasizing corpus safety, model security, and rigorous assessment, the regulation intends to ensure that the rise of AI in China is both innovative and secure—all while upholding its socialist principles.
This means that Google will cover claims like copyright infringement, made against your company, regardless of whether they stem from the generated output or Google's use of training data to create our generative AI models.
The latest companies joining the effort are Adobe, Cohere, IBM, Nvidia, Palantir, Salesforce, Scale AI and Stability AI.
The Copyright Office is seeking input on three primary issues raised by the rise of generative AI tools like ChatGPT, DALL-E, and Stable Diffusion.
While cautious experimentation is allowed, the standards prohibit publishing AI-generated content directly or using it as a reporting shortcut.
The commitments, which companies say will remain in place until relevant regulations are enacted, address key risks associated with generative AI models surpassing today’s state-of-the-art capabilities.
With the new rules, China seeks to strike a balance between advancing their AI capabilities while maintaining rigid ideological control.
A new white paper explores models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI
The new law marks one of the first attempts in the U.S. to curb algorithmic bias. However, the legislation has sparked intense debate, with critics arguing it does not go far enough while the tech industry warns of impractical requirements.