White Paper

An in-depth report or guide about a specific topic and the problems that surround it.

Artificial Intelligence Risk & Governance

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Author: Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS); Publisher: University of Pennsylvania; Publication Year: N/A. The following paper explores the potential risks of AI and provides a standardized practical categorization of these risks: data-related risks, AI/ML attacks, testing & trust, and compliance. AI governance frameworks could help organizations learn, govern, monitor, and mature AI adoption. 4 core components of AI governance…

Responsible Tech Guide: How To Get Involved & Build A Better Tech Future

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Author: All Tech is Human; Publisher: Scribd; Publication Year: 2020. The following guide looks at how all technology is human-developed and provides a means to understand the “Responsible Tech” ecosystem, find resources from social purpose organizations globally, and interviews with subject matter experts across all fields. There are 3 main sections: how to enter the responsible tech…

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

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Author: Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman; Publisher: Frontiers; Publication Year: 2019. The following article discusses how the promises of social data are many, including understanding “what the world thinks” about a social issue, brand, celebrity, or other entity, as well as enabling better decision-making in a variety of fields…

How to Interview a Tech Company: A Guide for Students

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Author: N/A; Publisher: AI Now Institute; Publication Year: 2019. The following article has readers consider the importance of how a company acts ethically or unethically, or even if there are considerations in place. As we have learned, data science and analytics can have real impacts on people and in perpetuating disparities or forming new ones. AINOW has put together this resource…

Building Data and AI Ethics Committees

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Author: N/A; Publisher: Accenture, Northeastern University Ethics Institute; Publication Year: 2019. The following framework on page 15 of this document outlines what a “hypothetical committee on data use might look like” with 9 people at the table. “For any given ethics committee, members will have appropriate domain knowledge as well. For example, the consumer advocate, social scientist, subject matter expert…