Category: Code of Ethics

Towards Data Science (Channel)

AI Privacy, Data Science, Data Security, Ethical Concerns, Federated Learning, Machine Learning

Author: N/A; Publisher: Medium; Publication Year: N/A. The following communication channel offers publications of independent authors if they follow specific guidelines specified by the editors. The channel places attention on the question of ethics in…
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Ethical Data Analytics II – Incorporate Ethics Into the Design of Data Projects

Ethical Data Usage, Ethical Risks, Personal Data

Author: Mando Rotman, Tom Jongen, Floor Komen; Publisher: IG&H; Publication Year: N/A. The following tool is an Ethical Risk Quick Scan for helping clients assess the ethical risks of their data. The following questions are…
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How Data Brokers Sold My Identity

Advertising, Anonymity, Data Collection, Data Privacy, Facebook, Google, Key Identifying Information, Marketing

Author: Madhumita Murgia; Publisher: TED; Publication Year: 2017. In the following talk, Madhumita discusses how data privacy is still a huge issue. Even though data is anonymized there are still key identifying information such as…
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First Do No Harm: An Exploration of Researchers’ Ethics of Conduct in Big Data Behavioral Studies

Big Data, Consent, Research Practices

Author: Maddalena Favaretto, Eva De Clercq, Jens Gaab, Bernice Simone Elger; Publisher: National Library of Medicine; Publication Year: 2020. The following article focuses on the ethics in data science with the emergence of Big Data.…
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Estimating the Success of Re-Identifications in Incomplete Datasets Using Generative Models

Data Sharing, DeepMind, Deidentifying Data

Author: Luc Rocher, Julien Hendrickx, Yves-Alexandre de Montjoye; Publisher: Nature; Publication Year: 2019. In the following article, motivated by the UK National Health Service’s decision to share de-identified data with DeepMind, the authors set out…
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What Does it Mean to Embed Ethics in Data Science? An Integrative Approach Based on Microethics and Virtues

Data Science, Microethics, Moral Virtues, Training Programs

Author: Louise Bezuidenhout, Emanuele Ratti; Publisher: AI & Society; Publication Year: 2021. The following article addresses the rise of ethical concerns in data science and the issues of applying ethical approaches in day-to-day activities. Bezuidenhout…
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Ethical Issues Surrounding Research of AI in Health Care

Accountability, Algorithm Training, Algorithms, Artificial Intelligence, Autonomy, Data and Safety Monitoring Board, Equity, Responsibility, Transparency

Author: Lisa Murtha, Pralika Jain, Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses how artificial intelligence (AI) models can be flawed considering humans are the ones behind making these models. The authors…
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Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade

Artificial Intelligence, Elon University, Ethical Principles, Profit-Seeking, Social Control

Author: Lee Rainie, Janna Anderson, Emily A. Vogels; Publisher: Pew Research Center; Publication Year: 2021. The following article opens up by describing the pervasive and ever-expanding role artificial intelligence (AI) has taken up in our…
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The Rise of AAAI: How a Data Ethics Framework Drives Value

AAAI, Advanced Analytics and Artificial Intelligence, Consumer Trust, COVID-19, Transparency

Author: Leanne Allen; Publisher: KPMG International; Publication Year: 2020. The following article discusses how COVID-19 accelerated the implementation of Advanced Analytics and Artificial Intelligence (AAAI), and this trend changed how customers interact with financial companies.…
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