Author: lnbressa

Aspects of Data Ethics in a Changing World: Where Are We Now?

Algorithms, Cheap Storage Capacity, Consent, Data Availability, Data Collection, Data Confidentiality, Data Ownership, Personal Data, Purpose of Use

Author: David J. Hand; Publisher: Mary Ann Liebert, Inc.; Publication Year: 2018. The following article discusses how data availability, cheap storage capacity, and powerful tools for extracting information from data have the potential to significantly…
read more >>
How Overturning Roe v Wade has Eroded Privacy of Personal Data

Criminal Prosecution, Data Collection, Femtech, Flo, Meta, Personal Information, Private Data, Reproductive History, Roe v. Wade

Author: David Cox; Publisher: The BMJ; Publication Year: 2022. The following article discusses how earlier this year, the Supreme Court overturned Roe v. Wade, a 1973 landmark case that legally established the right to abortion.…
read more >>
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework

Clinical Data, Ethical Data Usage, Health Information, Personal Data

Author: David B Larson, David C Magnus, Matthew P Lungren, Nigam H Shah, Curtis P Langlotz; Publisher: National Library of Medicine; Publication Year: 2020. The following article discusses how when we use data to serve…
read more >>
The Data Ethics Canvas

Ethical Data Usage, Ethical Guidance

Author: Dave Tarrant James Maddison; Publisher: Open Data Institute; Publication Year: 2021. The following tool is for anyone who collects, shares or uses data. It helps identify and manage ethical issues – at the start…
read more >>
How Google, Mayo Clinic and Kaiser Permanente Tackle AI Bias and Thorny Data Privacy Problems

Algorithms, Artificial Intelligence, Deidentifying Data, Health Data, Systematic Bias

Author: Dave Muoio; Publisher: Fierce Healthcare; Publication Year: 2022. The following article discusses health data and the problems that this data has when related to artificial intelligence (AI) and privacy. As systemic biases are built…
read more >>
The Impact of AI on Society

Algorithms, Fairness, Human Values, Neuro-Linguistic Programming, Representation, Transparency

Author: N/A; Publisher: Data Ethics 4 All; Publication Year: N/A. The following panel discusses ethical artificial intelligence (AI) practices, and how the data science community needs to balance human values with the values of an…
read more >>
Data Ethics Principles

Accountability, Algorithms, Data Control, Data Processing, Equality, Personal Information, Transparency

Author: N/A; Publisher: Dataethics; Publication Year: 2017. The following article outlines 5 data ethics principles that should be carried out when conducting any sort of data processing activity. To start, data ethics is centered around…
read more >>
Incorporate Inclusivity

Gender, Gender Gap, Racial Gaps, StrengthsFinder

Author: Data Science Ethics Podcast Publisher: Spotify Publication Year: 2020 Summary: The following podcast episode discusses how gender and racial gaps exist in the field of data science as it tends to be dominated by…
read more >>
Data Brew Season 2, Episode 2: Data Ethics

Data Disparity, Fairness, Gender, Social Inequality, Transparency, Unfair Representation

Author: Databricks; Publisher: Spotify; Publication Year: 2021. The following podcast episode discusses how in the realm of business and marketing, the regulation of fairness and data ethics are essential elements to consider when building a…
read more >>