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This book takes an interdisciplinary approach to contribute to the ongoing development of human-AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society.
List of contents
1. Algorithmic Experience 2. Algorithmic Awareness 3. Algorithmic Nudge 4. Algorithmic Credibility 5. Algorithmic Bias 6. Explainable Algorithms 7. Algorithmic Journalism 8. Human-Centered AI
About the author
Don Donghee Shin has been a professor of digital media at Zayed University, UAE, as well as Swansea University, UK. Over the last 25 years, he has worked at various universities in the US and South Korea, including Sungkyunwkan University, Syracuse University, Penn State University, and the University of California, Berkeley. Broadly, his research areas include human–algorithm interaction, social computing, and media analytics. His research explores the impact of algorithmic platforms in terms of ethical considerations, algorithms, human–computer interaction, and media studies. In his recent research, he has examined various mechanisms to investigate users’ behavior around opaque algorithmic systems, redesign these systems to communicate opaque algorithmic processes to users, and provide them with a more informed, satisfying, and engaging interaction.
Summary
This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society.
