Ai Ethics


Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Algorithms of Oppression: How Search Engines Reinforce Racism
Human Compatible: Artificial Intelligence and the Problem of Control
Superintelligence: Paths, Dangers, Strategies
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
The Alignment Problem: Machine Learning and Human Values
AI Ethics
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
Invisible Women: Data Bias in a World Designed for Men
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
Artificial Unintelligence: How Computers Misunderstand the World
Race After Technology: Abolitionist Tools for the New Jim Code
Data Feminism
The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations. This fact is disturbing. We need to close this gap as soon as possible." ~ Murat Durmus (THE AI THOUGHT BOOK) ...more
Murat Durmus (Author of the book "THE AI THOUGHT BOOK")

I. Almeida
Many presume that integrating more advanced automation will directly translate into productivity gains. But research reveals that lower-performing algorithms often elicit greater human effort and diligence. When automation makes obvious mistakes, people stay attentive to compensate. Yet flawless performance prompts blind reliance, causing costly disengagement. Workers overly dependent on accurate automation sleepwalk through responsibilities rather than apply their own judgment.
I. Almeida, Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype

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