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Articles by Justin Heck
The Turing Trap is turning into a Talent Trap: The wrong AI strategy could strand millions of skilled workers
Amidst the heated debate on the effect of Artificial Intelligence on our economy, our society, and even our survival lies a deeper sense of loss of control, with debates framed as “what will AI do?” This implicit passivity assumes that technology, rather than people, will determine AI’s impact on work. Before we buy into dangerous self-fulfilling prophecies, leaders in technology, business, society – and all of us – need to recognize the twin traps ahead, so we can avoid them.
The Turing Trap is turning into a Talent Trap: The wrong AI strategy could strand millions of skilled workers
alan (Credit: Christopher Furlong/Getty Images) Amidst the heated debate on the effect of Artificial Intelligence on our economy, our society, and even our survival lies a deeper sense of loss of control, with debates framed as “what will AI do?” This implicit passivity assumes that technology, rather than people, will determine AI’s impact on work.
How AI may reshape career pathways to better jobs
Debates about artificial intelligence (AI) and the labor market have largely focused on the future of college graduates and on which individual occupations will be disrupted. Far less attention is being paid to how AI will reshape economic mobility for workers without four-year degrees and across groups of jobs rather than individual jobs.
What Can State and Local Governments Learn From CMMC?
To address these risks, the DoD has long required compliance with standards like NIST SP 800-171 for protecting controlled unclassified information (CUI). The Cybersecurity Maturity Model Certification (CMMC) program builds on this by introducing a compliance framework that assesses whether vendors’ cybersecurity practices are sufficient to participate in DoD contracts. This formalized approach ensures that cybersecurity best practices are understood, met and maintained.
Tearing the Paper Ceiling: The Impact of State Commitments to Remove Degree Requirements on Public Awareness and Job Opportunities for STARs
We are grateful for helpful feedback on this paper from Shad Ahmed, Georgios Athanasakopoulos, Byron Auguste, Henry Bartholomay, Paige Bongiorno, Jennie Cecere, Rebecca De La Garza, Ashley Edwards, Drew Erdmann, Patty Goldman, Courtney Haynes, Katherine Keegan, Daria Kirilenko, Andrea Kirk, Connie Kwong, Erica Loken, Amy Mortimer, Audrey Mickahail, Layla O’Kane, Sarah Olson, Gina Rosen, Joseph Siegmund, Federico Trudu, Jalencia Wade, Melissa Walker, and Will Villota.
States are leading the effort to remove degree requirements from government jobs
Over the past two years, more than 20 states have expanded access to state jobs through a simple move: assessing or removing bachelor’s degree requirements. With state, local, and federal governments employing 15% of the U.S. workforce, these actions are of enormous consequence, especially for “STARs,” or workers who are skilled through alternative routes.
The Limits of Educational Attainment in Mitigating Occupational Segregation Between Black and White Workers
We are grateful for helpful feedback on this paper from Shad Ahmed, Byron Auguste, Jasmine Davis-Randolph, Ashley Edwards, Julian Hayes, Amy Mortimer, Bill Spriggs, and Mikaela Spruill. This paper's content, and any errors, are solely the responsibility of the authors. The views expressed herein are those of the authors and do not necessarily reflect the views of their affiliate institutions or the National Bureau of Economic Research. Related
Skills, Degrees, and Persistent Inequality: The Opportunity Gap between STARs and Workers with 4-Year Degrees
On average, workers without a bachelor’s degree who are Skilled Through Alternative Routes (STARs) need 30 years of work experience to earn as much as their peers with a four-year degree earned right out of college. In a new NBER working paper, Peter Blair, Papia Debroy, and I show that the divergent wage outcomes over a worker’s career for those with and without degrees can be explained by an opportunity gap.
Skills, Degrees and Labor Market Inequality
We are grateful for helpful feedback on this paper from Katherine Abraham, Hunt Allcott, Desmond Ang, Susan Athey, David Autor, Byron Auguste, Isaiah Baldiserra, Chandra Childers, David Deming, Mischa Fisher, Martin Fleming, Erica L.
Best bang for your buck: Vodka
All intoxication calculations do not take into account the mixing of liquor with other drinks. The calculations are based on 130 pound females and 180 pound males over a 3 hour period. Calculations can change based on gender, weight, and time period.
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