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Mark Coeckelbergh's book, "The Political Philosophy of AI," addresses the challenges posed by artificial intelligence (AI) and the need to understand its effects from a political perspective. Coeckelbergh argues that current analyses of AI's moral implications are limited by their individualistic approach and failure to consider broader social and political contexts. The book explores the relationship between AI and fundamental political concepts such as freedom, equality, justice, and power. It also examines how AI intersects with emerging socio-political concepts like animalism, environmentalism, and posthumanism. Coeckelbergh concludes that the political philosophy of AI has been overlooked, and calls for a reevaluation of AI's nature and its impact on society. [Extracted from the article]

She provides numerous examples, including music games like I Guitar Hero i , video game music fandoms like Chiptune (fans of 8-bit game music who create remixes and new compositions), mobile music, and video games. Digital technology - a vast and constantly evolving field - has completely upended the way the world discovers, accesses, and engages in music consumption. [Extracted from the article]

Schrage then covers various "recommender approaches" (120), including simple ones like "Most Popular" (an easy way to deal with the "cold start" problem: how to draw in new users for whom the system has insufficient data [120]). Whether you find these ubiquitous suggestions helpful, benign, annoying, or worse, I Recommendation Engines i , by innovation researcher Michael Schrage, makes an interesting read for anyone who wants to understand how companies use data about you in order to fuel such predictions. [Extracted from the article]

Netflix Nations: The Geography of Digital Distribution. In I Netflix Nations i , Ramon Lobato seeks to understand the global distribution of the content streaming service Netflix. [Extracted from the article]

Indeed, via an exhaustive explanation of entertainment marketing, I Entertainment Science i makes the case for industry scholars and practitioners to make room for theory and data science in their future decisions. While Chapter 11 examines trailers, advertisements and the key characteristics, Chapter 12 navigates other communication channels, including word of mouth, professional reviews, and recommendation algorithms. Finally, the book's concluding chapters spotlight how entertainment products are distributed (Chapter 13) and priced (Chapter 14), as well as the diverging marketing strategies behind niche products and blockbusters (Chapter 15). [Extracted from the article]

The article reviews the book "Recommender Systems: An Introduction," by Dietmar Jannach , Markus Zanker, and Alexander Felfernig.

The article reviews the book "The Filter Bubble: What the Internet Is Hiding From You" by Eli Pariser.