Across the world, AI is used as a tool for political manipulation and totalitarian repression. Stories about AI are often stories of polarization, discrimination, surveillance, and oppression. Is democracy in danger? And can we do anything about it?
In this compelling and balanced book, Mark Coeckelbergh reveals the key risks posed by AI for democracy. He argues that AI, as currently used and developed, undermines fundamental principles on which liberal democracies are founded, such as freedom and equality. How can we make democracy more resilient in the face of AI? And, more positively, what can AI do for democracy? Coeckelbergh advocates not only for more democratic technologies, but also for new political institutions and a renewal of education to ensure that AI promotes, rather than hinders, the common good for the twenty-first century.
Why AI Undermines Democracy and What to Do About It is a must-listen for anyone who is concerned about the fate of democracy.
Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.
Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers.
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