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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

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Leverage zones in Responsible AI: towards a systems thinking conceptualization.

Ehsan Nabavi¹, Chris Browne¹

¹Responsible Innovation Lab, Center for Public Awareness of Sciences, The Australian National University, Canberra, ACT Australia.

Humanities & Social Sciences Communications

|March 13, 2023

Summary

Responsible AI initiatives may fail if they don't address root causes. This study introduces the Five Ps framework, using systems thinking, to guide holistic interventions for more effective Responsible Artificial Intelligence (AI).

Keywords:

Business and management Information systems and information technology Science, technology and society

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Area of Science:

Artificial Intelligence Ethics
Systems Thinking
Sociotechnical Systems

Background:

Growing debate on the effectiveness of current Responsible AI interventions.
Risk of Responsible AI becoming a marketing buzzword without addressing core issues.
Lack of practical guidance for integrating systems thinking into Responsible AI strategies.

Purpose of the Study:

To propose a novel approach for planning and experimenting with Responsible AI interventions.
To introduce the Five Ps conceptual framework for constructing holistic interventions.
To provide practical advice for decision-makers on applying systems thinking to Responsible AI.

Main Methods:

Adaptation of 'leverage zones' from systems thinking literature.
Development of the Five Ps conceptual framework.
Conceptual analysis of intervention levels, from lower-order (e.g., algorithmic tweaks) to higher-order (e.g., redefining foundational structures and purpose).

Main Results:

The Five Ps framework offers a structured approach to identify and plan interventions.
The framework facilitates a spectrum of interventions, from technical adjustments to fundamental system redesign.
It promotes a more comprehensive and potentially impactful approach to achieving Responsible AI.

Conclusions:

The Five Ps framework serves as a scaffold for transdisciplinary inquiry towards Responsible AI.
It encourages a shift from superficial fixes to addressing root causes within AI systems.
Effective Responsible AI requires holistic, systems-level interventions challenging underlying structures and purpose.