This audiobook is narrated by a digital voice.
The Ethics of AI Decision-Making: When Algorithms Take Control is a thought-provoking dive into the complex and often contentious world of artificial intelligence, exploring the profound ethical dilemmas that arise when machines are tasked with making decisions that affect human lives. As AI becomes increasingly integrated into systems governing everything from healthcare and justice to finance and transportation, this book raises critical questions about accountability, fairness, and the very nature of autonomy.
At its heart, this book is an inquiry into trust-trust in the data that feeds algorithms, the processes that guide their decisions, and the outcomes that shape our reality. Through real-world examples and riveting case studies, it examines instances where AI has succeeded, failed, and sparked controversy. Whether it's autonomous vehicles navigating moral trade-offs, AI judges assessing criminal sentencing, or algorithms determining creditworthiness, the implications are far-reaching and often unsettling.
The narrative weaves together perspectives from technology, philosophy, law, and sociology to paint a comprehensive picture of the challenges and opportunities posed by AI decision-making. It delves into topics such as bias in machine learning, the transparency of black-box algorithms, and the risks of over-reliance on systems that may lack human empathy or ethical reasoning.
But The Ethics of AI Decision-Making isn't just about identifying problems-it's about exploring solutions. It highlights the pioneering efforts of researchers, ethicists, and policymakers working to establish guidelines for responsible AI.
It challenges readers to grapple with the moral questions of our time: How do we ensure AI systems are fair and accountable? Who is responsible when things go wrong? And how can we strike a balance between innovation and ethical integrity?
This audiobook is narrated by a digital voice.
The Ethics of AI Decision-Making: When Algorithms Take Control is a thought-provoking dive into the complex and often contentious world of artificial intelligence, exploring the profound ethical dilemmas that arise when machines are tasked with making decisions that affect human lives. As AI becomes increasingly integrated into systems governing everything from healthcare and justice to finance and transportation, this book raises critical questions about accountability, fairness, and the very nature of autonomy.
At its heart, this book is an inquiry into trust-trust in the data that feeds algorithms, the processes that guide their decisions, and the outcomes that shape our reality. Through real-world examples and riveting case studies, it examines instances where AI has succeeded, failed, and sparked controversy. Whether it's autonomous vehicles navigating moral trade-offs, AI judges assessing criminal sentencing, or algorithms determining creditworthiness, the implications are far-reaching and often unsettling.
The narrative weaves together perspectives from technology, philosophy, law, and sociology to paint a comprehensive picture of the challenges and opportunities posed by AI decision-making. It delves into topics such as bias in machine learning, the transparency of black-box algorithms, and the risks of over-reliance on systems that may lack human empathy or ethical reasoning.
But The Ethics of AI Decision-Making isn't just about identifying problems-it's about exploring solutions. It highlights the pioneering efforts of researchers, ethicists, and policymakers working to establish guidelines for responsible AI.
It challenges readers to grapple with the moral questions of our time: How do we ensure AI systems are fair and accountable? Who is responsible when things go wrong? And how can we strike a balance between innovation and ethical integrity?
The Ethics of AI Decision-Making: When Algorithms Take Control
The Ethics of AI Decision-Making: When Algorithms Take Control
FREE
with a B&N Audiobooks Subscription
Product Details
| BN ID: | 2940194396559 |
|---|---|
| Publisher: | Ajah Excel |
| Publication date: | 12/31/2024 |
| Edition description: | Unabridged |
Videos
