Artificial Intelligence, Automation, and Work

By Daron Acemoglu, P. Restrepo. 2018

1,054 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions, Sociology and Political Science, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In General Health Professions

In Sociology and Political Science

In Natural Language Processing

Citations in the corpus

Llama 2: Open Foundation and Fine-Tuned Chat Models (2023, background): “Lastly, broader societal issues like job displacement due to accelerated AI research and an over-reliance on LLMs leading to training data degradation are also pertinent considerations (Acemoglu and Restrepo, 2018; Autor and Salomons, 2018; Webb, 2019; Shumailov et al., 2023).”
Taxonomy of Risks posed by Language Models (2022, background): “Advances in LMs and the language technologies based on them could lead to the automation of tasks that are currently done by paid human workers, such as responding to customer-service queries, with negative effects on employment [3, 192].”
The Role of Cooperation in Responsible AI Development (2019, background): “Although it displaces some workers, automation has positive effects like increased productivity (Acemoglu and Restrepo, 2018).”
Artificial intelligence and big data in entrepreneurship: a new era has begun (2019, background): “AI is therefore also affecting the concrete role and position of people in this new AI-infused world of work in many ways (Acemoglu and Restrepo 2018; Frank et al. 2019).”
The Employment Consequences of Robots: Firm-Level Evidence (2020, positive): “…tasks; 2) capital deepening that increases the effectiveness of robots, which can increase productivity without further reducing labor; or 3) the creation of new tasks or increased demand for existing tasks that are complementary to robots (Acemoglu and Restrepo 2018, Brynjolfsson et al. 2018).”
Economic Policy for Artificial Intelligence (2018, background): “Acemoglu and Restrepo (2018a, 2018b) em‑ phasize that a job can be decomposed into tasks, and so the impact of AI and automation on jobs depends on the tasks the AI will replace.”
Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “Economists also claim automation will bring productivity effects that lead to “new tasks, functions and activities in which labor has a comparative advantage relative to machines” ( Acemoglu & Restrepo, 2018, p. 2).”
The Missing Profits of Nations (2018, positive): “…of factor shares, such as declining relative prices of capital (Karabarbounis and Neiman, 2014), capital-biased technical change and automation (e.g. Acemoglu and Restrepo, 2018), the rise of super-star firms (Autor, Dorn, Katz, Patterson and Van Reenen, 2020), or capital accumulation (Piketty…”
Artificial intelligence, machine learning and health systems (2018, background): “…Acemoglu and Restrepo, who studied the historical effects of automation – the process of substitution of mechanization for human labour – argue that automation exerts a displacement effect where human labour is displaced by machines in areas where machines have differential advantage [ 16].”