How should regulators think about "AI"?
Emily M. Bender・2 minutes read
AI is essentially a marketing term for automation created in the 1950s to attract funding, with automation being a more accurate replacement term for clearer discussions on its implications and consequences for society. Various types of automation, from decision-making to language translation, can exhibit biases, promote mass surveillance, and serve corporate interests, emphasizing the need for accountability and ethical considerations.
Insights
- The term "AI" was initially a marketing strategy in the 1950s to secure research funding, emphasizing the need to replace it with "Automation" for clearer discussions on its impact, accountability, and beneficiaries.
- Automation encompasses various systems like decision-making, classification, recommendation, and translation, built on data and algorithms that may introduce biases, surveillance, and automation bias, ultimately serving corporate agendas.
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Recent questions
What is the origin of AI?
Marketing term in the 1950s
How can discussions on AI be clarified?
Replace with Automation
What are some types of automation?
Automatic decision systems, recommender systems, etc.
How are automation systems built?
Using training data and algorithms
What are the potential risks of automation?
Biases, mass surveillance, automation bias, corporate interests
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