Search Results for “Training” – Page 4

Search results for: “Training”

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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AI for Climate: Freedom, Justice, and Other Ethical and Political Challenges

Artificial Intelligence, Climate Change, Natural Language Processing Technology

Author: Mark Coeckelbergh; Publisher: AI and Ethics; Publication Year: 2021. The following piece discusses how artificial intelligence (AI) can be used to help lessen climate change but can also exacerbate challenges. Examples mentioned are that…
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You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly

Artificial Intelligence, Data Collection, Health AI, Health Improvement, Transparency

Author: Marieke Bak et al.; Publisher: Frontiers; Publication Year: 2022. The following resource describes how artificial intelligence (AI) can be used in healthcare to fulfill its ethical ends to improve health. It discusses how governments…
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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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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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Increasing Transparency in Perspective’s Machine Learning Models

Algorithms, Google, Model Transparency, Toxicity, Training Data

Author: Lucy Vasserman, John Cassidy; Publisher: Medium; Publication Year: 2019. The following article discusses how the Jigsaw team at Google analyzed Perspective API’s toxicity model, which gives toxicity scores to online comments from a variety…
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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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HireVue Assessments and Preventing Algorithmic Bias

Algorithms, Discrimination, HireVue, Human Bias, Risks, Training Data

Author: Loren Larson; Publisher: HireVue; Publication Year: 2018. The following article discusses how HireVue is committed to good science that creates a level playing field for all candidates. Without deliberately working to reduce bias that…
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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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Search results for: “Training”

AI Bias and Human Rights: Why Ethical AI Matters

You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly

Towards Data Science (Channel)

Increasing Transparency in Perspective’s Machine Learning Models

Ethical Issues Surrounding Research of AI in Health Care