In the rapidly evolving landscape of artificial intelligence (AI), the dialogue often veers between the extremes of stringent regulation, like the European Union’s AI Act, and laissez-faire approaches that risk unbridled technological advances without sufficient safeguards. Amidst this polarized debate, the Coalition for Health AI (CHAI) has emerged as a promising alternative approach that addresses the ethical, social, and economic complexities introduced by AI, while also supporting continued innovation.
It's difficult to understand some technologies because they're better experienced than described. I've found GenAI to be one example where it's difficult to grasp the full range of capabilities unless you see some of it in action. Over the last year, I've given a number of presentations that tried to contextualize GenAI for the audience by demonstrating relevant use cases. I compiled them in this long master deck, which I periodically update and am sharing in the hope that it may spark some ideas for you.
I had a great time joining James Pethokoukis on his podcast, Faster, Please! We touched on a number of areas including how AI can help improve teaching and learning.
Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble over basic math problems, posing a problem for their use in settings—including education—where math is essential. However, these limitations are being addressed through improvements in the models themselves along with better prompting strategies.
I’m honored to have been appointed as the Sammons Enterprises Fellow at the Bush Institute. I will be focusing on education and workforce issues, including supporting several of the Institute’s initiatives. It’s an exciting opportunity and I’m flattered to have been selected along with Keith Hennessey , Nicole Bibbins Sedaca, and Robert A. McDonald.
Credentials have become the coinage of the realm as labor markets demand higher levels of skills and experience. What was once confined to high school diplomas and college degrees has now become an ever-expanding range of credentials offered by schools, post-secondary institutions, apprenticeships, certifications programs, and boot camps. Unfortunately, there has been little data on what credentials exist, how portable they are, and which employers recognize them.
The non–profit Credential Engine has taken the first step in filling this information gap. It recently released a report containing what is believed to be the most comprehensive count of credentials in the labor market, finding a staggering 738,428 unique credentials that include…
Workers who participate in the “gig economy” do not neatly fit into traditional categories of full-time or part-time workers. Some workers use side gigs to supplement their income and enjoy the flexibility of working when it is most convenient for them. Others are using this type of work as their primary source of income, but lack the employer-provided benefits many full-time employees enjoy.
That is what makes last week’s announcement by Uber and Arizona State University so significant. The new partnership gives their drivers flexible education options with 100 percent tuition coverage.
The evolving nature of work requires that we also evolve our system of training individuals for the jobs of today and tomorrow, and rethink the way we provide financial support. Income Share Agreements are a compelling financial innovation offering a solution for the students these new models serve.
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.
John Bailey (EOP, DoC, DoEd) is a busy guy. As a visiting fellow at the American Enterprise Institute he works on finding new ways to help “re-skill” individuals who have lost their jobs during times of economic disruption, whether because of normal business cycles, automation, or artificial intelligence. He is also a fellow at the Chan Zuckerberg Initiative working on economic mobility and education issues. He also serves on a number of boards, including the Education Reform Advisory Council of the George W. Bush Institute. He also serves as a moderator for the Aspen Institute’s Global Leaders Network.
