Where Responsible AI meets Reality: Practitioner Perspectives on
Enablers for shifting Organizational Practices
- URL: http://arxiv.org/abs/2006.12358v4
- Date: Wed, 3 Mar 2021 01:59:43 GMT
- Title: Where Responsible AI meets Reality: Practitioner Perspectives on
Enablers for shifting Organizational Practices
- Authors: Bogdana Rakova, Jingying Yang, Henriette Cramer, Rumman Chowdhury
- Abstract summary: This paper examines and seeks to offer a framework for analyzing how organizational culture and structure impact the effectiveness of responsible AI initiatives in practice.
We present the results of semi-structured qualitative interviews with practitioners working in industry, investigating common challenges, ethical tensions, and effective enablers for responsible AI initiatives.
- Score: 3.119859292303396
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Large and ever-evolving technology companies continue to invest more time and
resources to incorporate responsible Artificial Intelligence (AI) into
production-ready systems to increase algorithmic accountability. This paper
examines and seeks to offer a framework for analyzing how organizational
culture and structure impact the effectiveness of responsible AI initiatives in
practice. We present the results of semi-structured qualitative interviews with
practitioners working in industry, investigating common challenges, ethical
tensions, and effective enablers for responsible AI initiatives. Focusing on
major companies developing or utilizing AI, we have mapped what organizational
structures currently support or hinder responsible AI initiatives, what
aspirational future processes and structures would best enable effective
initiatives, and what key elements comprise the transition from current work
practices to the aspirational future.
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