Global AI Advancements Outpace Regulatory Measures: Policymaking Struggles to Keep Up

As artificial intelligence technology continues to evolve at an accelerated rate, governing bodies around the globe are finding it increasingly laborious to keep up with regulation. According to a report by the New York Times, while nations are swiftly addressing potential risks associated with AI, most notably in Europe and the U.S., understanding of the technology itself remains limited, leading to a measure of reactivity rather than proactive policy making.

In another revelation from the New York Times, the release of OpenAI’s ChatGPT in 2022 heralded pivotal developments within the tech sector. The AI-based project, viewed by OpenAI as more of a research strategy than a practical product launch, prompted technological behemoths such as Google and Meta to expedite their respective AI initiatives.

Despite more law firms beginning to disclose their use of AI, there is disparity within the industry regarding a universal definition of what constitutes an ‘AI tool’. This fact has been highlighted by a recent Legaltech News report. While some may confine the definition to cutting-edge technologies such as generative AI, the reality is that AI plays a significant role in many tools, including software routinely used by many firms, such as Microsoft’s platform.

In a move that could potentially disrupt Silicon Valley’s AI boom, California lawmakers appear to be on the verge of establishing significant policy obstructions. Politico cites numerous bills currently targeting the perceived largest societal threats posed by AI. Governor Gavin Newsom’s Chief of Staff, Jason Elliot, commented on the double-edged nature of Generative AI, acknowledging its potential for both incredible benefit and devastating cost.

Google’s new Gemini AI model, capable of scraping audio, video, and images as well as text, is increasingly viewed as a formidable contender against OpenAI’s ChatGPT supremacy in the generative AI space. Wired reports on the capabilities of the so-called “natively multimodal” model, which represents substantial progress towards the goal of creating AI that can interact with the world in ways akin to the human mind. The pioneering development of Gemini was led by Demis Hassabis, a key executive at Google.