AI industry leaders create forum to build powerful tech safely
OpenAI, Microsoft, Alphabet's Google and Anthropic are launching a forum to support safe and responsible development of large machine-learning models, top industry leaders in artificial intelligence said on Wednesday. They are highly capable foundation models that could have dangerous capabilities sufficient to pose severe risks to public safety, industry leaders have warned. While the use cases for such models are plenty, government bodies including the European Union and industry leaders including OpenAI's CEO Sam Altman have said appropriate guardrail measures would be necessary to tackle the risks posed by AI. "This is urgent work and this forum is well-positioned to act quickly to advance the state of AI safety," said Anna Makanju, Vice President of Global Affairs at OpenAI.
Discover Related
Sex-Fantasy Chatbots Are Leaking a Constant Stream of Explicit Messages
Job seekers turn to AI tools to gain a competitive edge. It can also backfire
From the India Today Archives (2024): How India can be at the forefront of AI
Microsoft To Soon Let Users Tailor Copilot to Their Needs
Microsoft’s AI division head wants to create a lasting relationship between chatbots and their users
The Tools of Tomorrow: What Lies Ahead with the AI Revolution
AI agents are a moment of truth for tech
Databricks and Anthropic partner to help companies build AI agents
Australian AI startup is creating fake victims to fool real scammers
E-governance set to get AI push in UP
How AI is reshaping healthcare: Insights from experts live on The Hindu webinar
Agentic AI: The next frontier in artificial intelligence
TCS, Infosys hop onto Adobe’s new platform to sell AI services to clients
AI seen as key to high-quality growth
AI seen as key to high-quality growth
Trump's call for AI deregulation gets strong backing from Big Tech
Big Tech struggles to sell AI as industry wary of copyright infringements
India AI Mission: How we're poised to ride next innovation wave
Under Trump, AI Scientists Are Told to Remove ‘Ideological Bias’ From Powerful Models