AI and Shared Prosperity
Citation: Katya Klinova, Anton Korinek AI and Shared Prosperity.
DOI (original publisher): 10.1145/3461702.3462619
Semantic Scholar (metadata): 10.1145/3461702.3462619
Sci-Hub (fulltext): 10.1145/3461702.3462619
Internet Archive Scholar (search for fulltext): AI and Shared Prosperity
Wikidata (metadata): Q109563255
Download: https://partnershiponai.org/wp-content/uploads/2021/08/AIES-Klinova-Korinek-2021.pdf
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Summary
Authors core claim is that "market prices do not reflect distributive concerns" therefore AI using firms have a "responsibility in how they handle the redistributive power of AI" and governments "can also take steps to ensure that the regulatory environment does not provide incentives for excessive automation and ever greater concentration of earning opportunities" (for example, limiting labor mobility and taxing labor).
Proposes framework for evaluating AI impact on labor demand, using customer service chatbots and autonomous delivery vehicles to illustrate:
- Direct effects
- Which types of workers will be displaced, and in what locations?
- For which types of workers will demand be increased, and in what locations?
- Demand effects
- Will AI increase demand for product, will increase in demand increase demand for labor, and in what locations?
- Vertical effects
- How does increased demand affect labor demand along supply chain of company using AI?
- Horizontal effects
- How will demand for competing companies' products be affected, how will this affect their labor demand, and in what locations?
- What complementary processes will be affected, how will this affect labor demand, and in what locations?
- Factor reallocation
- How will wages adjust to new equilibrium?
