Category: Diversity, Equity & Inclusion

AI Bias and Human Rights: Why Ethical AI Matters

Artificial Intelligence, Bias Training, Biased AI, Ethical AI

Author: Mikael Anneroth; Publisher: Ericsson; Publication Year: 2021. The following article begins with descriptions of examples of artificial intelligence (AI) bias and the poses the question: without ethical use of AI, just how at stake…
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Ethical Algorithm Design Should Guide Technology Regulation

Algorithmic Bias, Machine Learning

Author: Michael Kearns, Aaron Roth; Publisher: Brookings; Publication Year: 2020. The following article is focused on frameworks for thinking about algorithmic bias and how to address the “unanticipated consequence of following the standard methodology of…
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Designing Ethical AI-Practices & Processes

Artificial Intelligence, Ethical AI, Fairness, IBM

Author: Mia Shah-Dand; Publisher: AI Ethics Diaries: Keeping it Real Podcast; Publication Year: 2022. The following podcast episode features Milena Pribic, a senior artificial intelligence (AI) designer at IBM, who gives advice on building ethical…
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Ethics in The Metaverse: Why Data Concerns Needs to be Resolved Now, Not Later

5G Networks, Artificial Intelligence, Biased Data, Data Accountability, Data Compliance, Data Education, Metaverse, Virtual Reality

Author: Merav Ozair; Publisher: Nasdaq; Publication Year: 2022. The following article talks about the importance of data ethics in the metaverse. Although the metaverse is not a concrete reality yet, its underlying technologies (including artificial…
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Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services

Big Data, Human-Data Relations, Philosophy of Big Data

Author: Melanie Swan; Publisher: Research Gate; Publication Year: N/A. The following article discusses the Philosophy of Big Data which is a branch of philosophy that is concerned with the foundations, methods, and implications of big…
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Responsible AI Dashboard: A One-Stop Shop for Operationalizing Responsible AI in Practice

Artificial Intelligence, Casual Inference, Counterfactual Analysis, Error Analysis, Machine Learning, Unfairness Assessment, Unfairness Mitigation

Author: Mehrnoosh Sameki; Publisher: Microsoft; Publication Year: 2021. The following dashboard can be used to make sure data scientists ethically and responsibly take the correct approach towards artificial intelligence or machine learning. “A single pane…
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The Invisible Workers of the AI Era

Algorithms, Automated Programs, Blue Collar Work, Machine Learning

Author: Maximilian GAHNTZ; Publisher: Medium; Publication Year: 2018. The following article discusses how a lot of automated programs require a large of amount of workers doing blue collar work such as data entry in order…
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The Basics of Ethical Data Management for Technologists

Data Policies, Data Practices, Data Security, Ethical Data Usage, Google

Author: Mark Feffer; Publisher: Dice; Publication Year: 2020. The following article discusses ethical data usage in the real world. There are many opportunities for employees of a particular company to view detailed data on an…
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Tesla Cars Store Unencrypted Data

Data Collection, Data Misuse, Data Storage, Hacking, Personally Identifiable Information, PII, Tesla

Author: Marie Weber, Lexy Kassan; Publisher: Data Science Ethics; Publication Year: 2019. The following podcast episode discusses how Tesla had a bug bounty program running in 2019 which led people to try and hack wrecked…
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