Organizations can govern user prompts and model outputs in large language models using data access governance and security solutions that integrate with model libraries. This allows for real-time enforcement of data privacy, regulatory compliance, and access control policies while preserving the benefits of generative AI. Additional notes: READ ARTICLE
The increasing adoption of generative AI models has brought new security challenges. Startups are emerging to address these challenges by providing solutions in three categories: governance, observability, and security. READ ARTICLE
Midjourney, an AI image generation platform, banned independent researcher Tim Boucher shortly after he revealed the platform was inadvertently generating nude images, violating its own content policies. READ ARTICLE
Boards and business leaders need greater AI literacy and oversight to manage risks and ensure responsible AI development as generative AI capabilities advance rapidly.
Former Rep. Will Hurd was "freaked out" by a briefing on AI system GPT4 while serving on OpenAI's board, calling it a first step toward artificial general intelligence (AGI). He argues for governance guardrails on AGI given the potential for both good and catastrophic consequences. READ MORE
The key takeaway from the text is the urgent need for comprehensive governance and regulation of artificial intelligence (AI), particularly Artificial General Intelligence (AGI), to ensure it abides by existing laws, respects intellectual property, and is developed and used responsibly, thereby preventing potential catastrophic consequences. This summary covers the essential…
AI systems connected to sensors and actuators in the physical world will start interacting with and controlling the environment on a massive scale. This requires these AIs to be both trusted and trustworthy. READ MORE
Adding visible or invisible watermarks to AI-generated images is not an effective solution to prevent misuse, as they can still be manipulated or removed. More holistic approaches are needed. READ MORE
The critical importance of ethical governance in AI within healthcare emphasizes the need for responsibility, trust, and safety. This includes the development of AI technologies with a strong focus on ethical implications, transparency, data privacy, and addressing potential biases, especially in patient care and data handling. Integration of Ethical Governance…
The EU AI Act will have significant impacts on the development and use of AI, including generative AI, in Europe over the next 12-24 months. Although details are still being finalized, it aims to address risks while enabling innovation. READ MORE
In 2024, artificial intelligence will be dominated by "hybrid AI" where large "foundation models" like GPT-4 are used as the brain/orchestrator, while smaller specialized AI models focus on specific tasks and tie into the foundation models. Building the large foundation models will only be possible for the richest tech companies…