States continue to pave the way forward on AI policy. As we have previously discussed, 2023 saw a flurry of activity from state legislatures on various AI-related legislation. However, state legislatures were not alone in attempts to implement greater oversight for AI technologies. Over the past year, the Governors of California, Maryland, New Jersey, Oregon, […]
The race to regulate AI is promulgating an array of approaches from light-touch to highly prescriptive regimes. Governments, industry, and standards-setting bodies are rushing to weigh-in on what guardrails exist for AI developers and deployers. Yet, often times the regulatory conversations take for granted the answer to one fundamental question: What is AI? At its […]
In November 2022, Chat GPT brought the AI revolution straight into the hands of everyday consumers. However, if 2022 launched the proliferation and democratization of AI technology, 2023 can be remembered as the year in which policymakers tried to reign in AI. In the U.S., every branch of the federal government has weighed in on […]
On December 18, 2023, the International Organization for Standardization (ISO) adopted ISO 42001-2022, which sets a voluntary standard for organizations to implement an artificial intelligence (AI) management system.
On December 9, 2023, European Union (EU) policymakers reached an agreement on the proposed Artificial Intelligence (AI) Act, which sets the stage for the EU to pass the AI Act as early as January 2024. The impending vote on the compromise legislation marks a significant development in the global AI regulatory landscape; one that American […]
What is Colorado Regulation-10-1-1 ? In July 2021, Governor Jared Polis signed SB 21-169 into law, which directed the Colorado Division of Insurance (CO DOI) to adopt risk management requirements that prevent algorithmic discrimination in the insurance industry. After two years and several revisions, a final risk management regulation for life insurance providers was officially […]
What is the NIST AI RMF? The National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework is a voluntary framework released in 2023 that helps organizations identify and manage the risks associated with development and deployment of Artificial Intelligence. It is similar in its intent and structure to the NIST Cybersecurity Framework […]
In our new research paper, we’ll discuss how privacy professionals, and their organizations, can take on AI governance — and what will happen if they don’t. Key findings include:
AI systems have immense beneficial applications, however they also carry significant risks. Research into these risks, and the broader field of AI safety, hasn’t received nearly as much attention or investment until recently. For the longest time, there were no reliable sources of information about adverse events caused by AI systems for researchers to study. […]
While AI has been used in enterprise and consumer products for decades, only large tech organizations with sufficient resources were able to implement it at scale. In the past few years, advances in the quality and accessibility of ML systems have led to a rapid proliferation of AI tools in everyday life. The accessibility of these tools means there is a massive need for good AI Governance both by AI providers (e.g. OpenAI), as well as the organizations implementing and deploying AI systems into their own products.
