The Dark Side of AI
Description
This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be integrated into society responsibly, while addressing the potential dangers that could threaten our future, making it relevant for those seeking to understand both the promise and peril of emerging AI technologies.
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Person
Wasswa Shafik (Member, IEEE) is the Founder and a Team Lead of the Dig Connectivity Research Laboratory (DCRLab). He received his PhD in Digital Science (Computer Science) at Universiti Brunei Darussalam, Brunei Darussalam, a master of Engineering in Information Technology Engineering with Communication and Computer Networks Option from Yazd University, Iran and a bachelor of science degree in Information Technology Engineering with a minor in mathematics from Ndejje University, Kampala, Uganda. His research interests include Artificial Intelligence, Deep Learning, Computer Vision, Digital Health, Smart Agriculture, Sustainable Computing, Green Cybersecurity & Forensics.
Content
Chapter 1. Awakening the Machine: Tracing the Origins and Evolution of Artificial Intelligence.- Chapter 2. The Double-Edged Sword of Artificial Intelligence: An Introduction.- Chapter 3. Ethical Dilemmas in AI: Navigating the Moral Minefield.- Chapter 4. The Future of Work: AI's Threat to Jobs and Economic Stability.- Chapter 5. AI in Warfare and Security: The Rise of Autonomous Weapons and Global Threats.- Chapter 6. Misinformation and Manipulation: The Dark Side of AI in Media and Politics.- Chapter 7. The "Black Box" Problem: Lack of Transparency in AI Decision-Making.- Chapter 8. Regulating Artificial Intelligence: Global Efforts to Prevent Catastrophic Outcomes.- Chapter 9. Mitigating the Dark Side: Responsible AI Development and Ethical Solutions.- Chapter 10. Charting a Path Toward a Responsible and Human-Centered AI Future.