Category: Notable People

2022 Consumer Privacy Legislation

Artificial Intelligence, Consumer Privacy, Data Privacy, Legislation

Author: Pam Greenberg; Publisher: National Conference of State Legislatures; Publication Year: 2022. The following article discusses how we often hear that legislators need to regulate artificial intelligence (AI), and this is a summary of 2022…
read more >>
LinkedIn Ran Social Experiments on 20 Million Users Over Five Years

A/B Testing, Harvard Business Review, LinkedIn, Massachusetts Institute of Technology, Personal Data, Privacy Policy

Author: Natasha Singer; Publisher: The New York Times; Publication Year: 2022. The following article discusses a new study that analyzed the data of nearly 20 million LinkedIn users over a 5-year period revealed that acquaintances,…
read more >>
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…
read more >>
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…
read more >>
The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

Big Data, Big Data Gap, Epistemology, Ethical Assessment, Governance Framework

Author: Brent Daniel Mittelstadt, Luciano Floridi; Publisher: National Library of Medicine; Publication Year: 2015. The following paper provides an ethical assessment of emerging Big Data practices and a framework for governance. The authors discuss 2…
read more >>
Ethics and Data Science

Consent, Consequences, Control, Data Collection, Data Interpretation, Data Modeling, Guidelines, Model Implementation

Author: Mike Loukides, Hilary Mason, DJ Patil; Publisher: O’Reilly; Publication Year: 2018. The following book focuses on implementing ethical guidelines into data scientists’ daily work. The authors provide 5 framing guidelines: consent, clarity, consistency, control,…
read more >>
Data Ethics in combating COVID-19 after Lockdown

Accountability, COVID-19, Data Aggregation, Data Anonymity

Author: Michelle Seng Ah Lee; Publisher: Trust & Technology Initiative; Publication Year: N/A. The following article talks about using data to overcome challenges due to the COVID-19 pandemic, and lessons learned in using data ethically.…
read more >>
Challenges of AI Ethics in Insurance

Artificial Intelligence, Data Collection, Data Usage, Discrimination, Gender Discrimination, Income Discrimination, Racial Discrimination

Author: Michelle Seng Ah Lee; Publisher: Medium; Publication Year: 2022. The following article discusses the ethical concerns associated with the implementation of artificial intelligence (AI) programs in the insurance industry. Beyond privacy issues arising from…
read more >>
OkCupid Study Reveals the Perils of Big-Data Science

Big Data, Consent, OkCupid, Public Data

Author: Michael Zimmer; Publisher: Wired; Publication Year: 2016. The following article describes how a group of Danish researchers publicly released a dataset of nearly 70,000 OkCupid users, including usernames, age, gender, location, the type of…
read more >>