Category: Bias

How Open-Source Data Labeling Technology can Mitigate Bias

Human Bias, Labeling, Machine Learning, Modeling

Author: Sean Michael Kerner; Publisher: VentureBeat; Publication Year: 2022. The following article discusses how when labeling data for modeling and machine learning, the person labeling the data can accidently introduce bias to the models. This…
read more >>
How Artificial Intelligence can Help Combat Systemic Racism

Advocacy, Artificial Intelligence, Collaboration, Facial Recognition Systems, Systemic Inequity, Systemic Racism

Author: Scott Murray; Publisher: MIT News; Publication Year: 2022. The following article discusses how facial recognition algorithms have been known to be less accurate when detecting darker-skinned individuals, resulting in harmful bias and wrongful use.…
read more >>
Data Ethics in Artificial Intelligence & Machine Learning

Artificial Intelligence, Consent, Facial Recognition Systems, Immigration and Customs Enforcement, Machine Learning

Author: Saurabh Mishra; Publisher: Medium; Publication Year: 2020. The following article discusses how data is very important when it comes to artificial intelligence (AI) and machine learning as it acts as the fuel source for…
read more >>
Ten Steps to Ethics-Based Governance of AI in Health Care

AI Bias, AI Strategy, AI Usage, Artificial Intelligence, Consent, Data Governance, Harm Avoidance, Transparency

Author: Satish Gattadahalli; Publisher: STAT; Publication Year: 2020. The following article talks about the usage of artificial intelligence (AI) in health care which raises ethical issues that are paramount and fundamental in order to avoid…
read more >>
The Good, The Bad, and The Creepy: Why Data Scientists Need to Understand Ethics

Algorithms, Consent, Digital Footprint, Facebook, Target, Unknowables, Yahoo

Author: Jennifer Priestly; Publisher: SAS Users; Publication Year: 2018. The following article discusses how the data ecosystem is evolving. Data used to be small, structured, and static. Then it became large, unstructured, and in motion.…
read more >>
Scientists Are Just as Confused About the Ethics of Big-Data Research as You

Data Research, Ethical Boundaries, Institutional Review Boards, The Common Rule

Author: Sarah Zhang; Publisher: Wired; Publication Year: 2016. The following article discusses how ethical boundaries for data researchers are still developing as data research is still an emerging field. Under the Common Rule in the…
read more >>
How Racial Bias in Tech Has Developed the “New Jim Code”

Artificial Intelligence, Biased AI, Discriminatory Practices, Facial Recognition Systems, Human Bias, Machine Learning, Unethical AI

Author: Sarah E. Bon, Nyasha Junior; Publisher: Hyperallergic; Publication Year: 2020. The following article explores the use of artificial intelligence (AI) and machine learning in artistic research and reconstructions. Specifically, the authors explore the hidden…
read more >>
Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare

Algorithms, Artificial Intelligence, Bad Training Data, Biased AI, Patient Care

Author: Sara Gerke, Timo Minssen, and Glenn Cohen; Publisher: National Library of Medicine; Publication Year: 2020. The following article is dense, but its biggest takeaway is the impact of getting things wrong is extremely high…
read more >>
Data Ethics Unit to Probe Impact of Music-Streaming Algorithms

Artificial Intelligence, Centre for Data Ethics and Innovation, Spotify

Author: Sam Trendall; Publisher: Public Technology; Publication Year: 2022. The following article details a probe by the United Kingdom’s Centre for Data Ethics and Innovation (CDEI), a government unit dedicated to promoting ethical use of…
read more >>