Cloud Hosting

OpenAI, Microsoft, Google, and Anthropic have come together to create a forum that aims to support the safe and responsible development of large machine-learning models. This collaboration between top leaders in artificial intelligence is focused on coordinating safety research and establishing best practices for what are known as frontier AI models. These models exceed the capabilities of existing advanced models and have the potential to pose significant risks to public safety.

Generative AI models, such as the one powering chatbots like ChatGPT, have the ability to generate responses in the form of prose, poetry, and images by extrapolating vast amounts of data at high speeds. While these models offer various applications, industry experts and government bodies like the European Union have emphasized the need for appropriate measures to mitigate the risks associated with AI technologies.

In a statement, Microsoft President Brad Smith highlighted the responsibility of companies in ensuring the safety, security, and human control of AI technology. The Frontier Model Forum, the industry body established by the collaboration, will work closely with policymakers, academics, and governments to facilitate information sharing and promote responsible practices. The forum will prioritize the development and sharing of a public library of benchmarks and technical evaluations for frontier AI models.

The Frontier Model Forum plans to establish an advisory board in the near future and secure funding to support its initiatives. The forum will not engage in lobbying activities but instead focus on advancing AI safety. Anna Makanju, Vice President of Global Affairs at OpenAI, emphasized the urgency of this work and expressed the forums readiness to make swift progress in this critical area.

The collaboration between OpenAI, Microsoft, Google, and Anthropic demonstrates a collective commitment to ensuring the safe and responsible development of AI models. By coordinating research efforts and sharing best practices, this forum aims to address potential risks associated with the growing capabilities of machine-learning models.

Follow this link:
Forum Launched to Promote Safe Development of Large Machine ... - Fagen wasanni