Explore our collection of data ethics resources
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Author: Charles Duhigg; Publisher: The New York Times; Publication Year: 2012. The following article describes how every time you interact with a company, they learn and record information about you, from demographic details to shopping…
Author: Charlene Chu et al.; Publisher: The Gerontologist, Volume 62; Publication Year: 2022. The following paper explores the impacts of ageism and technology. They define “digital ageism” as the repercussions of bias against older individuals…
Author: Victor Chang; Publisher: Technological Forecasting and Social Change, Volume 165; Publication Year: 2021. The following paper proposes an ethical framework for the use of big data to address urban concerns, particularly surrounding public transportation…
Author: N/A; Publisher: The Corporate Financial Institute; Publication Year: 2023. The following article covers multiple forms of overconfidence that can be found in analysts in the financial industry. There were 4 types that are discussed:…
Author: N/A; Publisher: The Chartered Financial Analyst (CFA) Institute; Publication Year: 2014. Summary: The following handbook discusses regulation in relation to ethics of financial analysts. It covers how to keep privacy of data, to transfer…
Author: N/A; Publisher: The Center for Open Science; Publication Year: 2014. The following paper addresses how the Center for Open Science’s (COS) mission is to increase the openness, integrity, and reproducibility of research. Toward this…
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by…
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…