AI: Limits and Prospects of Artificial Intelligence
Bielefeld: transcript (2023), 288 pp.
"The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence." (Publisher description)
What is Artificial Intelligence Really Capable of? / Rainer Berkemer, Markus Grottke, 9
Transgressing the Boundaries. Towards a Rigorous Understanding of Deep Learning and Its (Non-)Robustness / Carsten Hartmann, Lorenz Richter, 43
Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving / Peter Klimczak, 83
Limits and Prospects of Big Data and Small Data Approaches in AI Applications / Ivan Kraljevski, Constanze Tschöpe, Matthias Wolff, 115
Artificial Intelligence and/as Risk / Isabel Kusche, 143
When You Can’t Have What You Want. Measuring Users’ Ethical Concerns about Interacting with AI Assistants Using MEESTAR / Kati Nowack, 163
Man-Machines. Gynoids, Fembots, and Body-AI in Contemporary Cinematic Narratives / Christer Petersen, 195
Trends in Explainable Artificial Intelligence for Non-Experts / Elise Özalp, Katrin Hartwig, Christian Reuter, 223
Machine Dreaming / Stefan Rieger, 245
Let’s Fool That Stupid AI. Adversarial Attacks against Text Processing AI / Ulrich Schade, Albert Pritzkau, Daniel Claeser, Steffen Winandy, 267
Transgressing the Boundaries. Towards a Rigorous Understanding of Deep Learning and Its (Non-)Robustness / Carsten Hartmann, Lorenz Richter, 43
Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving / Peter Klimczak, 83
Limits and Prospects of Big Data and Small Data Approaches in AI Applications / Ivan Kraljevski, Constanze Tschöpe, Matthias Wolff, 115
Artificial Intelligence and/as Risk / Isabel Kusche, 143
When You Can’t Have What You Want. Measuring Users’ Ethical Concerns about Interacting with AI Assistants Using MEESTAR / Kati Nowack, 163
Man-Machines. Gynoids, Fembots, and Body-AI in Contemporary Cinematic Narratives / Christer Petersen, 195
Trends in Explainable Artificial Intelligence for Non-Experts / Elise Özalp, Katrin Hartwig, Christian Reuter, 223
Machine Dreaming / Stefan Rieger, 245
Let’s Fool That Stupid AI. Adversarial Attacks against Text Processing AI / Ulrich Schade, Albert Pritzkau, Daniel Claeser, Steffen Winandy, 267
