DeeperML

Google DeepMind has released a strategy paper outlining its approach to the development of safe artificial general intelligence (AGI). According to DeepMind, AGI, defined as AI capable of matching or exceeding human cognitive abilities, could emerge as early as 2030. The company emphasizes the importance of proactive risk assessment, technical safety measures, and collaboration within the AI community to ensure responsible development. They are exploring the frontiers of AGI, prioritizing readiness and identifying potential challenges and benefits.

DeepMind's strategy identifies four key risk areas: misuse, misalignment, accidents, and structural risks, with an initial focus on misuse and misalignment. Misuse refers to the intentional use of AI systems for harmful purposes, such as spreading disinformation. DeepMind is also introducing Gemini Robotics, which it touts as its most advanced vision-language-action model. Gemini Robotics aims to allow robots to comprehend something in front of them, interact with a user, and take action.

ImgSrc: lh3.googleuserc

References :

• THE DECODER: Google Deepmind says AGI might outthink humans by 2030, and it's planning for the risks
• LearnAI: We’re exploring the frontiers of AGI, prioritizing readiness, proactive risk assessment, and collaboration with the wider AI community.
• Google DeepMind Blog: Our framework enables cybersecurity experts to identify which defenses are necessary—and how to prioritize them
• www.techrepublic.com: DeepMind’s approach to AGI safety and security splits threats into four categories. One solution could be a “monitor†AI.

Classification:

• HashTags: #GoogleAI #DeepMind #AGISafety
• Company: Google DeepMind
• Target: AI systems
• Product: Gemini
• Feature: AGI Safety
• Type: AI
• Severity: Informative