Category: Diversity, Equity & Inclusion

Fighting Bias in AI Starts with the Data

AI Modeling, Artificial Intelligence, Data Accuracy, Responsible AI

Author: Joe McKendrick; Publisher: ZDNet; Publication Year: 2022. The following article discusses the importance of data accuracy when building non-biased artificial intelligence (AI) models. At the heart of AI models is data, and so it…
read more >>
Ethical by Design: Ethics Best Practices for Natural Language Processing

Ethical by Design, Natural Language Processing Technology, Transparency, User Values, User-Centric, Visibility

Author: Jochen L. Leidner, Vassilis Plachouras; Publisher: ACL Anthology; Publication Year: 2017. The following article features Jochen L. Leidner and Vassilis Plachouras who are Data Scientists at Thomson Reuters, Research & Development located in the…
read more >>
Doing The Right Thing With Data: Start Exploring Data Ethics Now

Accountability, Awareness, Compliance, Digital Literacy, Transparency

Author: Jochem Dogger; Publisher: Capgemini; Publication Year: 2020. The following article makes a point that often unethical use of data results from a lack of digital literacy or little awareness of the implications of digital…
read more >>
Critical Questions for Facial Recognition Technologies in Higher Education: A Handbook for Stakeholders and Decision-Makers

COVID-19, Facial Recognition Systems, Higher Education, Policing, Racial Bias, Surveillance

Author: Jillian Kwong, Stefanie Demetriades, Ali Rachel Pearl, Noy Thrupkaew, Jef Pearlman, Colin Maclay; Publisher: MASTS “Mobilizing Controversy” Working Group; Publication Year: 2021. The following resource provides insight into what facial recognition is and how…
read more >>
Enhancing Data Science Ethics Through Statistical Education and Practice

Ethical Conduct, Ethical Practice

Author: Jessica Utts; Publisher: International Statistical Review; Publication Year: 2021. The following article discusses what statisticians can do to promote ethical practices and what educators can do to instill ethical conduct in data science. The…
read more >>
What Ethical Approaches are Used by Scientists When Sharing Health Data? An Interview Study

Consequentialism, Data Collection, Data Usage, Deontological Approach, Human Health Research, Procedural Compliance

Author: Jennifer Johansson; Publisher: BMC Medical Ethics; Publication Year: 2022. The following article discusses how as data analytics transforms human health research, Johansson seeks out prominent researchers to gain insights into how they uphold ethical…
read more >>
Key Concepts for a Data Science Ethics Curriculum

Aggregation, Anonymity, Conduct, Consent, Curriculum, Data Accuracy, Data Misuse, Data Validity, Group Harm, Model Design, Model Misuse, Personal Harm, Privacy

Author: Jeffrey Saltz, Neil Dewar, Robert Heckman; Publisher: Association for Computing Machinery (ACM) Digital Library; Publication Year: 2018. The following article features reviewed published codes of conduct and ethics in data science by the authors…
read more >>
Data Science Ethical Considerations: A Systematic Literature Review and Proposed Project Framework

Big Data, Big Data Analytics, Classification, Data Analysis

Author: Jeffrey S. Saltz, Neil Dewar; Publisher: Springer Link; Publication Year: 2019. The following article discusses how data science, and the related field of big data, is an emerging discipline involving the analysis of data…
read more >>
Data Science Jobs are Growing, but Not All Students are Given Ethics Trainings Before Starting Their Careers

Algorithm Misuse, Bureau of Labor Statistics, Communication, Curriculum Development, Data Management, Data Misuse, Problem Solving, Training

Author: Jeffrey C. Oliver, Torbet McNeil; Publisher: Insider; Publication Year: 2021. The following article discusses how the U.S. Bureau of Labor Statistics says job opportunities in data science will grow by 15% by 2029, and…
read more >>