🎮🔥 The Game Theory Is on…And Google Wants to Make the Future of AI a Little Less Scary

In today’s email:

• 🔬 Research highlights: From Dilemma to Determinism: UC Santa Cruz Researchers Crack the Code on Game Theory

• 🚨 Industry news: Google Puts Its Best AI Foot Forward

• ⚖️ Policy and regulation: The AI Inventor Conundrum

• 🌐 AI and society: AI: Friend or Foe to Society?

🤔 From Dilemma to Determinism: 👩‍🔬 UC Santa Cruz Researchers Crack the Code on Game Theory

Researchers at UC Santa Cruz have disproven a 60-year-old game theory quandary that has ramifications for autonomous systems such as driverless cars. The wall chase game, a subset of differential games, was assumed to have no optimal game solution at a set of places where classical analysis failed to produce tactics for players. But, UC Santa Cruz researchers have recently demonstrated that a deterministic solution always exists in the game. They solved the problem by employing a mathematical concept known as the viscosity solution of partial differential equations and introducing a rate of loss analysis. The discovery opens the possibility of solving other similar problems inside differential games.

☝️Google Puts Its Best AI Foot Forward 🤝 

Google has announced the release of a new suite of products designed to make it safe and straightforward for developers and organizations to build using its finest AI models. This includes the PaLM API, an easy and secure approach to building on top of the company's best language models, which comes with a prototype tool called MakerSuite. In addition, Google has added generative AI capabilities to its Cloud AI portfolio, providing enterprise-level safety, security, and privacy. In addition, the corporation has launched new artificial intelligence (AI) alliances and programs for technology partners, AI-focused software vendors, and startups. These advancements aim to make AI more accessible to everyone while remaining responsible and safe in its approach.

🤖👨The AI Inventor Conundrum

Who gets the patent when the ‘Person’ behind the invention is a machine? The US Patent and Trademark Office (PTO) has invited views on artificial intelligence (AI) and inventorship. The request is part of a more significant attempt to engage in challenges at the confluence of AI and innovation. It asks for feedback on questions like "How is AI, particularly machine learning, currently being used in the invention development process?" In a recent law review article, John Villasenor advocated that AI ideas be patentable under a broader definition of conception, with inventorship assigned to those who use AI tools as extensions of their thoughts. The article proposes four approaches to tackling AI inventions, including naming AI systems as inventors or co-inventors or changing patent law to incorporate an "invention created for hire" framework similar to "work made for hire" in copyright.

🤖🚩AI: Friend or Foe to Society?

The impact of artificial intelligence (AI) on society is a hotly debated topic. While some fear that machines will take human jobs, others feel AI will improve our lives and increase productivity. The need for people to find new professions that utilize their particular skills is one of the challenges AI brings. Furthermore, AI creates legal, political, and regulatory difficulties, such as establishing who is to blame for accidents caused by self-driving cars. Concerns have also been raised concerning unforeseen repercussions, privacy invasion, and the risk of AI becoming super-intelligent and beyond human control. Nonetheless, AI has numerous positive effects, such as increasing workplace productivity, freeing humans to undertake more meaningful work, lowering healthcare expenses, boosting criminal investigations, and reducing traffic congestion. While there will be hurdles and learning opportunities, it is expected that AI will have a positive impact on society.

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