The Balanced Algorithm Addressing Bias And Ethical Concerns In Ai
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The Balanced Algorithm: Addressing Bias and Ethical Concerns in AI
In an era where artificial intelligence (AI) shapes everything from hiring decisions to healthcare outcomes, ensuring fairness, transparency, and trust has never been more critical. The Balanced Algorithm delves deep into the pressing issues of algorithmic bias , discrimination in AI systems , and the growing demand for ethical AI practices . This groundbreaking book explores how biases emerge—from flawed training data and model design to entrenched societal inequalities—and offers actionable strategies to identify, mitigate, and prevent them. Through comprehensive analysis and real-world case studies, readers will uncover the science behind algorithmic bias , including cutting-edge statistical methods , fairness metrics , and innovative debiasing techniques . From industries like law enforcement, lending, and healthcare to sensitive domains requiring equitable access, this book examines both failures and successes in deploying responsible AI solutions . But addressing bias is only part of the equation. The Balanced Algorithm also tackles broader ethical concerns , such as privacy risks , public mistrust , and the societal implications of opaque algorithms. It provides a roadmap for overcoming barriers like algorithmic opacity , regulatory gaps, and accountability challenges while introducing emerging trends like explainable AI (XAI) , fairness-aware algorithms , and advanced bias detection platforms . Grounded in universal principles of justice and inclusivity, this book applies frameworks like Kantian ethics to guide developers, policymakers, and stakeholders toward creating human-centered AI systems that respect individual rights and foster long-term benefits for communities. With insights into existing legal considerations , proposed regulatory frameworks , and consumer protection measures , it equips readers with the tools needed to navigate complex debates on accountability, discrimination, and the future of trustworthy AI . Whether you're a technologist seeking to integrate fairness metrics into your workflows, a policymaker shaping guidelines for equitable algorithms , or simply someone passionate about the intersection of technology and society, The Balanced Algorithm is your essential guide to building a future where AI is not just powerful but also fair, transparent, and aligned with our shared values.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
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.