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Human-Centric Autonomy from Agentic Dynamics

Research Project

Project/Area Number 23K28145
Project/Area Number (Other) 23H03455 (2023)
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeMulti-year Fund (2024)
Single-year Grants (2023)
Section一般
Review Section Basic Section 61030:Intelligent informatics-related
Basic Section 60030:Statistical science-related
Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
Research InstitutionKyoto University

Principal Investigator

Rafik Hadfi  京都大学, 情報学研究科, 特定准教授 (30867495)

Project Period (FY) 2023-04-01 – 2026-03-31
Project Status Granted (Fiscal Year 2024)
Budget Amount *help
¥14,170,000 (Direct Cost: ¥10,900,000、Indirect Cost: ¥3,270,000)
Fiscal Year 2025: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2024: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2023: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
KeywordsAutonomy / Agency / Artificial Intelligence / Trustworthy AI / Game Theory / Trust
Outline of Research at the Start

The respect for human autonomy is a crucial principle in developing trustworthy AI. This project investigates autonomy, explores the factors influencing it, and tests it with human and AI agents.

Outline of Annual Research Achievements

The current achievement involves surveying the two main concepts of the project (agency and autonomy) and developing algorithms that use information-theoretic metrics, precisely mutual information, to define autonomy and agency. The resulting algorithms were tested on automata that simulate systems of interacting players (in the game theoretic sense). The findings from these tests are now being prepared for submission to a journal. The second achievement is the presentation of the theoretical model of the research and its implications for the study of agency and autonomy from an enactive perspective. This theoretical model results from the surveys of the concepts in cognitive sciences, particularly in 4E cognition. The last finding was presented at the CHAIN Philosophy Workshop "Frontiers of Enactivism in East Asia" at Hokkaido University.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

The initial phase of the project is primarily theoretical. It involves surveying various accounts of agency and autonomy and developing mathematical and algorithmic formulations of these concepts.

Strategy for Future Research Activity

The plan consists in three main phases, starting with the theoretical characterization of autonomy. The first phase involves formulating autonomy using information-theoretic metrics, specifically conditional mutual information, and translating these metrics into algorithms capable of quantifying autonomy in systems composed of two agents. These algorithms will then be tested on automata that simulate real systems of interacting game-theoretic players. This initial implementation will be conducted with the assistance of a research assistant (RA) and primarily using a laptop. The ongoing second phase focuses on constructing a game-theoretic framework for autonomy that incorporates the previously developed metrics into various games, such as Iterated Prisoner's Dilemma (PD). This phase involves algorithmic implementations, which will be coded in Python with the support of an RA.

Report

(1 results)
  • 2023 Annual Research Report
  • Research Products

    (1 results)

All 2024

All Presentation (1 results) (of which Invited: 1 results)

  • [Presentation] Rethinking Agency and Autonomy in AI: An Enactive Perspective2024

    • Author(s)
      Rafik Hadfi
    • Organizer
      CHAIN Philosophy Workshop “Frontiers of Enactivism in East Asia”. Hokkaido University, Japan. February 21st, 2024. Url: https://www.chain. hokudai.ac.jp/en/events/3719/
    • Related Report
      2023 Annual Research Report
    • Invited

URL: 

Published: 2023-04-18   Modified: 2024-12-25  

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