Gov. Gavin Newsom’s recent veto of California’s Senate Bill (SB) 1047, known as the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act, reignited the debate about how best to regulate the rapidly evolving field of artificial intelligence. Newsom’s veto illustrates a cautious approach to regulating a new technology and could pave the way for more pragmatic AI safety policies.
An emerging body of research suggests that large language models (LLMs) can “deceive” humans by offering fabricated explanations for their behavior or concealing the truth of their actions from human users. The implications are worrisome, particularly because researchers do not fully understand why or when LLMs engage in this behavior.
I was excited to contribute to a group of over 20 prominent AI researchers, legal experts, and tech industry leaders from institutions including OpenAI, the Partnership on AI, Microsoft, the University of Oxford, a16z crypto, and MIT on a paper proposing "personhood credentials" (PHCs) as a potential solution to the growing challenge of AI-powered online deception. PHCs would provide a privacy-preserving way for individuals to verify their humanity online without disclosing personal information. While implementation details remain to be determined, the core concept warrants serious consideration from policymakers and tech leaders as AI capabilities rapidly advance, threatening to erode the trust and accountability essential for societies to function.
The increasing capabilities of AI have sparked an important debate: Should the "weights" that define a model's intelligence be openly accessible or tightly controlled? This article dives deep into the arguments on both sides. Proponents say open-weight models accelerate innovation, enable greater scrutiny for safety, and democratize AI capabilities. Critics warn of risks like misuse for disinformation or military purposes by adversaries. The piece examines recent developments like frontier open-weight models from Meta and Mistral, Mark Zuckerberg's case for openness, concerns about China's AI ambitions, and the US government's cautious approach.
The recent AI policy roadmap from the bipartisan AI working group in Congress strikes a thoughtful balance between promoting AI innovation and addressing potential risks. It lays out a nuanced approach including increased AI safety efforts, crucial investments in domestic STEM talent, protections for children in the age of AI, and "grand challenge" programs to spur breakthroughs - all while avoiding hasty overregulation that could stifle progress
An unexpectedly productive Congress has passed the Infrastructure Investment and Jobs Act (IIJA), CHIPS Act, and Inflation Reduction Act (IRA), which aim to improve America’s infrastructure, boost competitiveness with China, and accelerate new climate technologies. Attention now shifts to implementation. State and community leaders should begin work now to prepare for funding competitions on the horizon.
Honored to be included in the Washingtonian Magazine's list of Most Influential People along with so many inspiring leaders. Wonderful to see many friends and colleagues on this list.
The United States and Britain are in the middle of an enormous economic and societal shift brought about by globalisation and the automation enabled by advanced technologies.
These trends have without question brought enormous benefits. But there is growing acknowledgement that there are places and people who have been left behind, leading to economic insecurity and political unrest.
While large, urban areas with college education workers are booming, many other areas are still experiencing declining business starts, sluggish job growth, and persistent poverty.
In the wake of the financial crisis these communities are also finding themselves shut out of the capital needed to rebuild their main streets and revitalize their communities.
In the United States, a bipartisan provision of the Tax Cuts and Jobs Act of 2017 created Opportunity Zones which strives to provide catalytic capital to these communities. It works in this way. After investors sell appreciated assets such as stocks, bonds, or real estate, they can reinvest the money gained from those sales into certain equity-financed projects located in an Opportunity Zone.
The federal Opportunity Zone program offers the chance to invest in entrepreneurs in overlooked communities. A central animating theme of the American dream is that anyone with an idea can launch their own business. This entrepreneurial energy makes enormous contributions to society by addressing unmet needs, improving lives and solving pressing problems. These entrepreneurs also serve as an economic engine for communities by creating jobs that lift people out of poverty.
The Opportunity Zone program received a considerable boost last week with several announcements during a White House convening of mayors, state policymakers, investors, and community organizations. Secretary of the Treasury Steven Mnuchin announced a second tranche of proposed regulations for the Opportunity Zone program, this time clarifying how Qualified Opportunity Funds can be used for business investment in struggling communities. He also announced a new process to explore reporting requirements. Additionally, HUD Secretary Ben Carson released the implementation plan for the White House Opportunity and Revitalization Council.
Tucked away in the Tax Cuts and Jobs Act is a little-noticed program called the Investing in Opportunity Act, which could bring much-needed financial investments to some of the nation’s most distressed communities. While most attention has focused on the benefits for housing development and new businesses, the program could also spur needed investments in education, particularly charter school facilities and skills training programs.
By now, it is almost routine to see columns sounding the alarm about millions of existing jobs at risk of being automated. However, the real risk is that we do not have a system ready to equip people with the skills needed to fill millions of new and modified jobs that will result from the rise of AI.
