Ai Ethics Artificial Intelligence Beyond The Algorithm
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AI Ethics: Artificial Intelligence Beyond the Algorithm
Discover the ethical landscape of artificial intelligence and navigate its complexities with ease through our comprehensive guide, "AI Ethics: Beyond the Algorithm." This book goes beyond the technicalities of algorithms to address the broader ethical implications of AI technologies, offering a deep and insightful exploration for AI developers, policymakers, and anyone interested in the intersection of technology and ethics. What You'll Find Inside: In-depth Analysis: Explore the historical context, evolution, and key ethical principles relevant to AI development. Societal Impacts: Understand the benefits and challenges of AI in various aspects of life, from employment to healthcare. Algorithmic Bias: Delve into the causes and consequences of algorithmic bias and discover strategies to mitigate it. Privacy and Data Protection: Learn about the ethical considerations in data collection, storage, and usage, along with global standards and regulations. Transparency and Accountability: Gain insights into building trust and ensuring accountability in AI systems. Global and Cultural Perspectives: Discover how different cultures perceive and address AI ethics, with case studies highlighting unique challenges. Practical Guidelines: Find ethical guidelines and best practices for AI developers and engineers. Industry-Specific Ethics: Explore ethical considerations in deploying AI across various sectors, with real-world examples. Future Directions: Stay ahead of emerging ethical issues and evolving AI regulations and standards. Packed with Value: Quizzes with Answers: Test your knowledge and reinforce your understanding with engaging quizzes. Practical Exercises: Apply ethical principles and concepts through hands-on exercises. Real-Life Examples: Learn from real-world scenarios and case studies that illustrate ethical challenges and solutions. Empower Yourself and Your AI Projects: Take a proactive step towards creating ethically sound AI technologies that benefit humanity and align with our moral values. "AI Ethics: Beyond the Algorithm" is your indispensable guide to navigating the ethical landscape of artificial intelligence. SUMMARY. "AI Ethics: Beyond the Algorithm" delves into the ethical implications of AI technologies, covering topics like algorithmic bias, privacy, transparency, and global ethical standards. Packed with quizzes, practical exercises, and real-life examples, this book provides valuable insights and guidelines for creating ethically sound AI technologies that benefit humanity.
Artificial Intelligence for a Better Future
Author: Bernd Carsten Stahl
language: en
Publisher: Springer Nature
Release Date: 2021-03-17
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Towards a Code of Ethics for Artificial Intelligence
The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.