A Deeper Look at AI: The First Winter and Its Lessons
AI's history includes the 'AI winter' in the mid-1970s to mid-1980s, marked by reduced interest and funding due to unmet expectations. This period shifted focus from mimicking human intelligence to specific AI applications, emphasizing realistic expectations and sustained investment. Lessons from this era remain relevant for today's AI advancements.
OpenAI Probe Sends Powerful Reminder to AI Players That Regulatory Land Mines Are Everywhere | Corporate Counsel
“Don’t exaggerate what your AI can do. And what the FTC means by this is that your performance claims have to have scientific support behind them, artificial intelligence expert Cara Hughes said at a webinar Thursday on the regulatory risks around AI.
Amid Wave of AI-Related Risks, Will Insurance Be Enough to Protect Companies? | Legaltech News
While evolving AI models are likely to bring their own set of changes to the insurance industry, such as the creation of new, AI-bespoke policies, until then, companies will have to rely on a portfolio of insurance products for coverage.