Artificial intelligence increasingly shapes the choices that affect our lives. From information and employment to healthcare, education, and public services, automated systems now influence decisions once made by people.
Before AI Decides: Nine Ways to Stay Human examines what happens when judgment quietly migrates from humans to systems, not through malice or conspiracy, but through speed, scale, and default design. Drawing on more than five decades of work across science, technology, design, and storytelling, Payson R. Stevens offers a clear and accessible framework for understanding where automation helps, and where human responsibility must remain non-negotiable.
Rather than arguing for or against artificial intelligence, the book asks a more enduring question: what must never be delegated?
At its core are Nine Ways to Stay Human, practical principles readers can use to recognize when systems are assisting and when they are deciding. These principles address issues with global relevance, including opaque decision-making, lack of accountability, mental health impacts, creative labor, environmental costs, and the erosion of due process.
Through real-world examples and plain-language explanation, the book helps readers:
Identify when automated systems function as authorities rather than tools Understand why many AI systems cannot fully explain their outcomes Insist on human oversight in high-stakes decisions Protect children and mental health from engagement-driven systems Defend human creativity, dignity, and fair compensation Take responsibility for fixing harm when systems fail
While the examples are contemporary, the questions this book raises are universal: who decides, who is accountable, and what must remain human in an automated world.
Written for general readers, educators, policymakers, and institutions, Before AI Decides is accessible without technical background and grounded in lived human experience. It calls not for slowing innovation, but for strengthening judgment, responsibility, and care where they matter most.
