Some agencies treat oversight of their programs as a burden or a threat to be avoided or evaded. But that is a shortsighted view.
The paradox of oversight is that when properly performed it actually serves the interests of the overseen program by building confidence in its legitimacy and integrity.
Perhaps with that in mind, U.S. Army Secretary Francis J. Harvey recently issued a memo (pdf) to senior Army leaders stressing the importance of effective oversight, especially when it comes to classified “sensitive” activities.
“I expect my oversight team to have an informed understanding of the Army’s conduct of, or support to, sensitive activities,” Secretary Harvey wrote.
“Sensitive activities may include intelligence activities and military operations, organizational relationships or processes, and technological capabilities or vulnerabilities.”
See “Oversight of Sensitive Activities,” May 18, 2006.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.