Reflections on Artificial Intelligence for Humanity
... AI bias really happens—and why it's so hard to fix (2019). MIT Review. https://www.technologyreview.com/2019/02/04 ... fair? Annual Meeting of the Global Future Councils of the World Economic Forum, 19 November 2018. https://www ...
Handbook of Critical Studies of Artificial Intelligence
... Bias . ProPublica . https : // www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?token ... AI . Nature Machine Intelligence , 1 ( 11 ) , 501-507 . https://doi.org/10.1038/s42256-019-0114-4 Nopper ...
It's All Analytics - Part II
... AI output and should strive to make their algorithms are fair , unbiased , and transparent . References Dickson , B ... Artificial Intelligence in the Federal Government . ( 2020 , December 3 ) . The White House . https : // www ...
Textbook of Computer Aided Drug Development
... Artificial Intelligence (AI) Artificial intelligence (AI) has a lot of big problems that need to be fixed before it ... fair is still a problem. For example, in healthcare, data privacy laws and disjointed data systems can make it ...
Modern Management Science Practices in the Age of AI
... Artificial Intelligence (AI) across many fields has definitely led to big improvements in output and efficiency. But it has also brought up some social issues and problems that need to be dealt with to make ... bias and justice, and the ...
Introduction to Business
... Artificial. Intelligence. (AI). Though AI is not a specific business function, it's everywhere. AI is changing just ... bias and fairness. AI bias happens when an AI system gives unfair or incorrect results because the data it was ...
Jim Kobak's Kirkus Reviews
... Artificial Intelligence Research Reveals about How the Mind Really Works ... AI . The word is connectionist : the new computer models are based on bottom - up parallel processing networks thought to emulate how the human brain truly works .
New Scientist
... fair and broadminded : all kinds of psychology are included and dealt with by authors who are known to be experts in the approach . This , happily , avoids the sniping of one theorists against the other which is still so often ...
New Statesman
... so gross that I am amazed to see it committed to print . We have no ... fair , I saw a senorita , With flowers in her hair . 34 Greystone Gardens , Kenton , Harrow , Middҳ GIM , KIM , Al and WHY From Than Tin As a researcher in ' intelligence ...
Airborne Reconnaissance
... fair , the Global Hawk is an ACTD and its planning system was not intended ... bias toward manned platforms in the Services . This bias eventually will be ... make sense to combine this mission with ISR in many cases . DARPA also ...
Kirkus Reviews
Adult books are categorized by genre (i.e., fiction, mystery, science fiction, nonfiction). Along with bibliographic information, the expected date of publication and the names of literary agents for individual titles are provided. Starred reviews...
A Kids Book About AI Bias
Learn how AI technology can utilize human-created biases, and what we can do to create a more fair, just world. This is a book about AI (artificial intelligence) bias. AI consumes lots of information and uses that data to predict patterns.
Navigating AI Bias: Strategies for Fair Algorithm Design
This book explores how biases in data, algorithms, and human decisions can perpetuate inequality, erode trust, and undermine progress—while providing actionable solutions to design fairer systems.
The Fair Algorithm: Ensuring Fairness in Machine Learning
This book dives deep into the pressing challenges of algorithmic fairness , exploring how biases emerge in AI systems and offering actionable strategies to mitigate them.
AI Ethics for Everyone
AI Ethics for Everyone gives you more than warnings or abstract principles-it provides hands-on, practical tools for anyone who wants to take responsibility for trustworthy, equitable, and transparent AI. Whether you're a developer, ...
The Balanced Algorithm: Addressing Bias and Ethical Concerns in AI
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.
Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making
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Building Ethical AI
In The Ethics of AI, this book explores the challenges of AI bias, transparency, accountability, and inclusivity-offering practical solutions to create responsible AI systems.
Ethical Considerations and Bias Detection in Artificial Intelligence/Machine Learning Applications
The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems.
Data Bias Exposed
The final section presents practical frameworks for developing more equitable AI systems, making this book particularly valuable for technology professionals and policymakers.