Reliability, security, and legal compliance. These are assurances that customers purchasing technology products expect from their providers, and which are often required as part of the contracts for such products. AI Providers, however, are lagging in their willingness to contractually commit to such assurances, let alone deliver in practice. Thus,…
Articles Posted in Artificial Intelligence
Old Tricks for the New Dog: Why Traditional Technology Sourcing Best Practice Is Relevant for Cutting-Edge AI
Since the release of OpenAI’s ChatGPT, the intense hype around large language models (LLMs) and complex AI systems has exploded. Organizations have rushed to both try and buy these new tools. Along with it, a flood of commentary continues to flow regarding how to use the tools productively and responsibly,…
EU Reaches Agreement on New “AI Act”: The World’s First Comprehensive AI Law
The Council of the European Union and the European Parliament reached a provisional agreement on a new comprehensive regulation governing AI, known as the “AI Act,” late on Friday night (December 8, 2023). While the final agreed text has not yet been published, we have summarized what are understood to…
The Impact of AI Foundation Models on Competition, Consumers and Regulation: A View from the UK’s CMA
The Competition and Markets Authority (CMA), the UK’s competition regulator, announced this month that it plans on publishing an update in March 2024 to its initial report on AI foundation models (published in September 2023). The update will be the result of the CMA launching a “significant programme of engagement”…
Key Takeaways from the UK’s AI Summit: The Bletchley Declaration
The United Kingdom hosted an Artificial Intelligence (AI) Safety Summit on November 1 – 2 at Bletchley Park with the purpose of bringing together those leading the AI charge, including international governments, AI companies, civil society groups and research experts to consider the risks of AI and to discuss AI…
Implementing a Policy for Employee Use of ChatGPT in the Workplace
The use of generative AI tools, like ChatGPT, are becoming increasingly popular in the workplace. Generative AI tools include artificial intelligence chatbots powered by “large language models” (LLMs) that learn from (and share) a vast amount of accumulated text and interactions (usually snapshots of the entire internet). These tools are…
AI Systems Adoption: Finding a Balance in Regulated Industries
Innovation has historically been driven by companies in regulated industries—e.g., financial services and health care—and some of the most intriguing use cases for generative AI systems will likely transform these industries. At the same time, regulatory scrutiny could significantly hamper AI adoption, despite the current absence of explicit regulations against…
Earning Your Trust: The Need for “Explainability” in AI Systems
AI systems seem like an exciting, effective new tool. But, as we have seen with Google’s recent struggles with accuracy, and Microsoft’s trouble with sentient, unhinged chat bots, not all of the kinks have been worked out with these tools. In our last post, we discussed the legal risks, and…
The Legal Risks of AI Systems in Technology Services
In our previous post, we provided an introduction to the budding new technology of generative AI, or AI systems. As with the implementation of any new technology, widespread understanding of the risks generally lags behind the speed of the technology itself. When the technology industry began its push “to the…
Artificial Intelligence Systems and Risks in Commercial Contracting
Though the use of artificial intelligence has grown steadily during the past decade, the recent release of OpenAI’s generative AI system, ChatGPT, has led to a precipitous increase in attention and publicity accompanying the rise of powerful generative AI systems. With these generative AI systems come mounting issues and concerns…