Designing Agentive Technology. Christopher Noessel

Designing Agentive Technology - Christopher Noessel


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       Disengagement and Death

       Recap: Handling Exceptions Is Often the Hard Part

       Agentive Gardening with Mr. McGregor

       CHAPTER 9 Handoff and Takeback

       Does This Mean No AI?

       Just 30 Minutes of Vigilance

       Decreasing Expertise

       Handing Off to Intermediates

       Handing Off to the User

       Takeback

       Recap: Handoff and Takeback Are the Achilles’ Heel of Agentive Systems

       CHAPTER 10 Evaluating Agents

       Does This Mean No UI?

       Methods

       Traditional Usability for the Traditional Parts

       Heuristic Evaluation for the Agentive Parts

       Recap: Evaluate with Heuristics

       PART III: THINKING

       CHAPTER 11 How Will Our Practice Evolve?

       First, We’ll Be Selling the Concept

       Then We’ll Be Working on Making Agents Smarter

       Hopefully, We’ll Work on Having Them Fade Away

       Recap: The Signpost Says AGI

       CHAPTER 12 Utopia, Dystopia, and Cat Videos

       The Tyranny of the Light Bulb

       But Will the Internet Save Us?

       Dr. Jekyll and Mr. Agent

       Ethics++

       An Uncanny Breach

       Delivering Strict Services to the 99%

       Planned Robobsolescence

       How Many Agents Are Too Many Agents?

       Will We Lose the Skills We Hand Over to Agents?

       What Will Agents Do to Our Self-Perception?

       Is This as Close as We Ought to Come to General AI?

       Recap: Issue-Filled Issues

       CHAPTER 13 Your Mission, Should You Choose to Accept It

       APPENDIX A Consolidated Touchpoints

       APPENDIX B A List of Referenced Agentive Technology

       Index

       Acknowledgments

       About the Author

      Chris has written a surprising book. He’s written something so inherently human that you can’t help but be swept up into the new world of agentive technology. To be honest, it’s just not fair! It sneaks up on you because Chris effortlessly shows the progression toward agentive technology—toward our giving agency to technology—to be simply an obvious step in human evolution. That’s a profound, and useful, shift of mindset.

      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 over-lord, but rather the seemingly mundane implications of a machine’s lack of empathy.

      Again, humanity. I’m so struck with how human this book is.

      It’s a book about invention and the evolution of ideas, technologies, and desires. I think maybe the single biggest trick Chris performs here is that by providing the history of various tools and their creators (like temperature control technology), the obviousness of technical assistants is almost shown to be a refined human need, as opposed to a new technical capability. This completely changes how we should approach the design of agents. It argues for, well, human-centered design, now, doesn’t it?

      And that, finally, is what leaps from these pages: the need for new practices in human-centered design. Without approaching the problem from a “framework” perspective (thank you), Chris offers the first word on some of these practices. He adds depth to the understanding of how agents differ from tools (both hardware and software). And by covering agentive technology’s human impacts, he shows that industrial design, UX design, and service design don’t adequately address what’s required to understand and solve problems of agentive technologies.


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