From health to tech, redistributive justice: adapting the health impact fund to address automation-driven disparities
Pagano De Astis, Ludovico (A.A. 2022/2023) From health to tech, redistributive justice: adapting the health impact fund to address automation-driven disparities. Tesi di Laurea in Business ethics, Luiss Guido Carli, relatore Gianfranco Pellegrino, pp. 80. [Master's Degree Thesis]
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Abstract/Index
Innovation, technology and artificial intelligence. Defining the concept of innovation. Classifying innovation types. Artificial intelligence and RPA. Vincix group case studies. The health impact fund. Purpose of the HIF. The problem of uncertainty. The ATIF. The name of the fund. Why an automation impact fund. Industrial sector. The structure of ATIF. Uncertainty in the ATIF. Ethical evaluations. The etical framework of the impact funds. Duties. Developing nations on negative and positive duties. The ethical framework of automation technologies. the introduction of automations and unemployment.
References
Bibliografia e sitografia: pp. 71-80.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77) |
| Chair: | Business ethics |
| Thesis Supervisor: | Pellegrino, Gianfranco |
| Thesis Co-Supervisor: | Giustiniano, Luca |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 May 2024 14:42 |
| Last Modified: | 22 May 2024 14:42 |
| URI: | https://tesi.luiss.it/id/eprint/38614 |
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