Designing Agentive Technology
AI That Works for People
Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.
From the foreword
Chris tells the story of artificial intelligence from the perspective of human imagination (sci-fi, scary) and of technical capabilities from the perspective of human needs and desires (real, narrow, beneficial). It’s a sleight of hand that brings perspective to some of the “sky is falling” noise that’s out there right now around AI. More importantly, this approach makes it all so relatable (and, yes, readable). You won’t leave here knowing how machines learn, but you will appreciate better how machine learning might impact the humans who rely on it. You’ll also be introduced to the implications of that reliance over time. These might surprise you—it’s not about AI as a sinister overlord, but rather the seemingly mundane implications of a machine’s lack of empathy.
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