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AI could end disease, Google DeepMind CEO Demis Hassabis says

The Vision of Google’s DeepMind

Demis Hassabis, acclaimed CEO of Google’s DeepMind, celebrated his revolutionary achievements in artificial intelligence (AI) with a refreshing game of poker. The visionary sees AI as the ultimate tool that could potentially end diseases and bring about what he calls “radical abundance.” This bold foresight aligns with the advancements in AI technologies that are continually shaping the landscape.

The Race to Artificial General Intelligence

DeepMind is spearheading the pursuit of Artificial General Intelligence (AGI), with aspirations to develop machines as versatile and knowledgeable as humans, but with superhuman speed. Hassabis noted, “It’s moving incredibly fast,” pointing out the exponential improvement curve powered by increasing resources and interest. Yet, the race raises questions about the safety and ethical implications of such rapid advancements.

Exciting Developments and Challenges

The latest innovation, Project Astra, signals a new generation of chatbots capable of interpreting the world with remarkable accuracy. However, as Scott Pelley observed during a showcase, these systems still lack imagination and curiosity—a gap Hassabis believes could be bridged in the next five to ten years. This progression mirrors global trends, as seen in current tech developments.

The Bigger Picture

Hassabis envisions AI not only to enrich human endeavors but also to tackle health-related challenges, positing that with AI, the end of disease could indeed be on our horizon. As DeepMind continues to evolve, the potential of AI to affect every aspect of our lives remains both a thrilling and daunting prospect.

Global Perspectives

Globally, the dialogue on AI ethics is crucial. “Guardrails,” as Hassabis calls them, are essential to ensure technologies align with societal values and stay within safe limits. The international community faces the daunting task of setting standards that prevent a ‘race to the bottom’ on safety and ethics.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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