— The Thinking of Bill Schmarzo —
Coverage of algorithmic bias, responsible AI governance, the economics of ethics, and how moral constraints must be embedded in models and compensation systems.
The structural issue, as Schmarzo frames it, is that organisations routinely profess commitments to diversity, sustainability, and ethical AI while tying no compensation metric to any of them — a contradiction he distils into a maxim borrowed from a former Procter & Gamble CEO: 'you measure what you
The debate over whether artificial intelligence poses a future threat misses a more immediate problem: biased algorithms are already making consequential decisions about people's lives across employment, healthcare, housing, college admissions, and credit, with most individuals unaware that any mode
What this exposes is not a future risk but a present condition: algorithmic systems — built on incomplete, inaccurate, and structurally biased data — are already determining employment, housing, and criminal justice outcomes for millions of people who neither know they are subject to these models no