Author: lnbressa

SAM: The Sensitivity of Attribution Methods to Hyperparameters

Explainability, Machine Learning, Training Data, Transparency

Author: Naman Bansal, Chirag Agarwal, Anh Nguyen; Publisher: N/A; Publication Year: 2020. The following article provides examples and an accompanying talk that illustrates how in many classification machine learning systems, even more explainable models, not…
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The Biases We Feed to Tinder Algorithms

Algorithms, Dating Apps, Discriminatory Practices, Elo-Score, Tinder

Author: N/A; Publisher: Diggit Magazine; Publication Year: 2019. The following article discusses how algorithms play a crucial role in overall participation in public life. When it comes to apps similar to Tinder, scholars stress the…
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Ethical research: goodpractice guide toresearching LGBTcommunities and issues

Anonymity, Coercion, Confidentiality, Informed Consent, Integrity, LGBTQIA+, Voluntary Participation

Author: N/A; Publisher: LGBT Foundation; Publication Year: N/A. The following article is a guide to navigating ethics issues that can arise when performing research (specifically on members of the LGBT community). The guide is split…
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Big Data Ethics: Redefining Values in the Digital World

Automation, Big Data

Author: N/A; Publisher: Thomson Reuters; Publication Year: N/A. The following article discusses how there are additional ethical challenges that come into play when working with Big Data. Since there are so many observations being brought…
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What Should Data Ethics Mean to Financial Service Providers?

Artificial Intelligence

Author: N/A; Publisher: Symphony AI; Publication Year: N/A. The following source discusses how data ethics in finance is a topic that has not been talked about enough as the rise of artificial intelligence (AI) and…
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Responsible AI: Scale AI with Confidence

Artificial Intelligence, Data Governance, Data Security, Privacy Protection, Responsible AI, Transparency, Unintended Bias

Author: N/A; Publisher: Accenture; Publication Year: N/A. The following article discuss how artificial intelligence (AI) has proved to be beneficial to business time and time again but with the use of AI comes a great…
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5 Ethical Questions in Data Science

Algorithms, Consent, Data Science, Discrimination, Human Bias, Transparency

Author: N/A; Publisher: Future Learn; Publication Year: N/A. The following article discusses how data science has increased rapidly; however, the concerns around the ethical use of it by organizations have risen alongside it. We have…
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Salesforce Debuts AI Ethics Model: How Ethical Practices Further Responsible Artificial Intelligence

Artificial Intelligence, Ethical AI, Maturity Model

Author: N/A; Publisher: Sales Force: News & Insights; Publication Year: 2021. The following article describes how it comes as no surprise that consumers do not typically trust artificial intelligence (AI) technology. Ethical AI is the…
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Predictive Privacy: Towards an Applied Ethics of Data Analytics

Prediction Gap, Predictive Analytics, Predictive Privacy, Proxy Data

Author: Rainer Mühlhoff; Publisher: Ethics and Information Technology; Publication Year: 2021. The following paper focuses on predictive analytics (PA), where a model is used to predict the actions of a target individual/group based on large…
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