Book Review: Atlas of AI Kate Crawford
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Atlas of AI |
Book Review: Atlas of AI Kate Crawford
Book Review: Atlas of AI Kate Crawford By Legaproblema.com - In Kate Crawford Atlas of AI, she investigates the hidden environmental, societal, and moral costs of artificial intelligence. What is the actual cost of artificial intelligence? By revealing AI practical consequences, Crawford dispels the misconception that it is an abstract, impartial technology.
Book Details
Author
Original Language
Publisher
Yale University Press
ISBN
9780300209570
Length
336 pages
Genre
Non-fiction, Technology, Ethics
Costs of Artificial Intelligence
- Artificial intelligent systems consume massive volumes of energy: One calculation indicates that training a GPT3 like model releases as much carbon over their lifespan as five automobiles.
- Data exploitation: AI draws on large databases usually scraped without permission, hence causing major privacy worries.
- Labor Issues: Behind every AI system are countless low paid workers labeling data and moderating content, hidden from the public eye.
Staggering Costs of AI
- Energy Consumption: AI systems consume vast amounts of electric power-estimates have it that training one GPT3 like AI model releases as much carbon over their life as five cars.
- Data Exploration: AI depends on large databases sometimes extracted without authorization, therefore presenting real privacy issues.
- Workforce Concerns: Behind every AI system are numerous low paid employees labeling data and moderating content, hidden from the public eye.
Emerging Generative AI
Crawford maintains that AI does not generate as people do-that is, it remixes, mimics, and forecasts based on existing information. Will generative AI render human creativity redundant? The emergence of ChatGPT and Midjourney shows how AI produces material, but should it genuinely be called innovation or only complicated plagiarism?
The Generative AI Explosion
- Although generative AI is now creating journalism, music, and even art, its biases are still quite rooted.
- AI produced material overwhelms the internet, yet who holds the rights.
- The illusion of intelligence-machines only forecast the next statistically probable word or image therefore do not understand meaning.
AI Technology
Can AI technology ever be really impartial? Crawford goes into great detail on how AI applications perpetuate social inequity. Facial recognition software erroneously identifies people of color more than others; predictive policing instruments have been faulted for propagating racial prejudice. The institutions that create and use it-not just the technology-present a challenge.
AI Companies
Which AI businesses indeed shape our world? Crawford examines the influence of firms including Amazon, Google, and Microsoft. These big companies propel research in artificial intelligence, but at what ethical price?
- Google AI division: Behind DeepMind and Bard but also participating in contentious military AI initiatives.
- Amazon artificial intelligence systems: Raise labor rights questions as they drive everything from Alexa to warehouse surveillance.
- Creators of ChatGPT: driving AI into popular use with little control, Microsoft and OpenAI.
Artificial Intelligence & Machine Learning
Though AI is frequently utilized as a generic term, Crawford makes a distinction between artificial intelligence; machine learning and n since AI ( task special programming ) and general AI ( which doesn't yet exist ) .
- Today dominant AI approach is machine learning-training robots on huge data sets to predict.
- AI is recognizing patterns based on chances, not thinking.
- Many AI advances rely on data monopolies controlled by tech behemoths.
AI Virtual Assistant
Crawford bashes AI assistants including Alexa, Siri, and Google Assistant as ostensibly useful but actually as surveillance devices. An apparent upside from the use of your AI virtual assistant is the amount it really knows about you.
- Tradeoffs of privacy: These gadgets are always recording and gathering information.
- Abuse of human labor: AI assistants depend on underpaid employee who review voice recordings.
- Virtual assistants: Based on their training data, may disseminate biased or incorrect material. Conferencing assistants can be useful in that respect on the grounds of their own background.
Organization & Contents Wise
Crawford presents Atlas of AI as a thorough examination of how AI affects several fields:
- Extracting: How artificial intelligence relies on human labor and extracting natural resources.
- Data: The undisclosed costs of collecting data and algorithmic prejudice.
- Sorting: How artificial intelligence tools categorize people, sometimes intensifying discrimination.
- Emotional: Artificial intelligence and the hazards of changing human emotional reactions.
- State Power: Government surveillance and control in government.
Book Highlights
- Thoroughly investigated: This is built on several years of scholarly study and real life searches.
- Engaging writing style: Crawford mixes academic rigour with narrative.
- Key observations: She questions the idea that artificial intelligence is neutral or good.
Influence & Legacy
The discussion about artificial intelligence has changed with Atlas of AI:
- Referred by tech ethicists and legislators.
- Informs discussions on AI rules and ethics.
- Applied in technological and societal college classes.
Comparison with Other Books of The Type
How different are other AI books from Atlas of AI?
Cathy O’Neil Weapons of Math Destruction investigates how biased financial, educational, and police systems can result from mathematical models. Using AI driven monitoring, The Age of Surveillance Capitalism by Shoshana Zuboff investigates the economic and political consequences. Janelle Shane You Look Like a Thing & I Love You, however, provides a clever and friendly exploration of the anomalies and restrictions of AI. Rather than only its algorithms, Crawford work distinguishes itself by its emphasis on the material and labor costs of artificial intelligence.
Rather than only its algorithms, Crawford book is notable for its emphasis on the material and labor expenses of artificial intelligence.
Negative Commentaries
Every book has its detractor. Some say that Crawford neglects possible advantages of AI and instead concentrates too much on its undesirable effects. Others see her analysis as too intellectual for the lay reader.
Closing Decision
Absolutely. Wanting a thorough, critical examination of the hidden costs of artificial intelligence makes Atlas of AI book vital. Still, if you want a positive view on AI's possibilities, you could think Crawford's opinion is too negative.
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