Society-in-the-loop: programming the algorithmic social contract
Name
10676_2017_9430_ReferencePDF.pdf
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1.25 MB
Format
Adobe PDF
Checksum (MD5)
3813c676a60c452356b8021445d2bb2c
Author(s)
Rahwan, Iyad
Date Issued
August 2017
Journal
Ethics and Information Technology
Publisher
Springer Netherlands
Citation
Rahwan, Iyad. “Society-in-the-Loop: Programming the Algorithmic Social Contract.” Ethics and Information Technology 20, no. 1 (August 17, 2017): 5–14.
Version
Author's final manuscript
Abstract
Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. Many commentators, scholars, and policy-makers now call for ensuring that algorithms governing our lives are transparent, fair, and accountable. Here, I propose a conceptual framework for the regulation of AI and algorithmic systems. I argue that we need tools to program, debug and maintain an algorithmic social contract, a pact between various human stakeholders, mediated by machines. To achieve this, we can adapt the concept of human-in-the-loop (HITL) from the fields of modeling and simulation, and interactive machine learning. In particular, I propose an agenda I call society-in-the-loop (SITL), which combines the HITL control paradigm with mechanisms for negotiating the values of various stakeholders affected by AI systems, and monitoring compliance with the agreement. In short, ‘SITL = HITL + Social Contract.’ Keywords: Ethics, Artificial intelligence, Society, Governance, Regulation
MIT Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s10676-017-9430-8
