Episode

26 Dec 2023 · 63 min

0:00

In this episode of the "Another Way" podcast, Lawrence Lessig interviews Jennifer Pahlka, founder of Code for America and former U.S. Deputy CTO, about the chronic failures of government technology and how to fix them. The conversation begins with a critique of the outdated, waterfall‑style approach that dominates federal IT, where power and information flow only one way down a hierarchy, preventing feedback and iteration. Pahlka explains that the real problem is not just old code (e.g., COBOL) but a cultural and managerial mindset that treats law as a literal specification for software, forcing lawyers to interpret statutes as immutable technical requirements. This creates an "accountability trap" where civil servants avoid judgment to protect themselves, leading to over‑reliance on massive, inflexible contracts and a lack of internal product‑management expertise. The hosts discuss concrete examples: the COVID‑test.gov rollout, a streamlined food‑stamp application, and the unemployment‑benefits backlog during COVID, all of which illustrate how agile, user‑centered, build‑measure‑learn cycles can deliver functional services quickly. They also examine how the Paperwork Reduction Act and OIRA’s review process choke user research, and how procurement practices favor large vendors like Oracle at the expense of internal capacity. Pahlka proposes three high‑impact reforms: (1) overhaul hiring to speed recruitment and use skill‑based assessments; (2) re‑imagine funding so operational expenses precede capital‑intensive contracts, enabling iterative projects; and (3) redesign oversight to reward judgment and reduce risk‑aversion. The discussion ends with concerns about implementing the Inflation Reduction Act’s climate provisions, emphasizing the need for both adequate talent and streamlined regulations. Throughout, the interview highlights the interplay of law, code, and organizational incentives, arguing that restoring public faith in government requires building a modern, agile digital capacity.

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