Five Practical Research Problems in AI Systems for Safety Robot Globe

Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. AI technologies are likely to be overwhelmingly useful and beneficial for humanity. AI technology has reached a point where the deployment of such AI systems are practically, if not legally, feasible within years, not decades, but the risks are very high. To address possible safety risks from AI systems researchers published a technical paper – Concrete Problems in AI Safety. Researchers from Google, OpenAI, Stanford and Berkeley have discussed one such potential impact: the problem of accidents in machine learning systems, defined as unintended and harmful behavior that may emerge from poor design of real-world AI systems.