Category: Video

How to Keep Human Bias Out of AI

Alexa, Artificial Intelligence, Gender Bias, Pregnancy, Racial Bias, Sexism, Siri, Targeted Advertising, Voice Assistants

Author: Kriti Sharma; Publisher: TED; Publication Year: N/A. The following video features Kriti Sharma who talks about how human-programmed artificial intelligence (AI) can have the biases of humans encoded into them and how this can…
read more >>
What are the Ethical Concerns of Artificial Intelligence in Marketing?

Convenience, Data Collection, Marketing, Personalized Content, Targeted Marketing, Transparency

Author: Kevin Walsh, Paul Roetzer Publisher: HubSpot Publication Year: 2019 Summary: The following video notes that individuals frequently make a trade off between privacy and convenience in order to receive personalized content, which firms can…
read more >>
Big Data is Better Data

Big Data, Data Patterns, Data Trends, Information Storage, Machine Learning, Predictive Policing

Author: Kenneth Cukier; Publisher: TED; Publication Year: 2014. The following talk’s primary idea is that when you have more data, you can see patterns and trends than you would have if you had small amounts…
read more >>
Transphobia in Algorithms

AI Bias, Cissexism, Data Collection, Facial Recognition Systems, Gender, LGBTQIA+, Trans People

Author: Kelsey Campbell; Publisher: Gay TA Science; Publication Year: 2021. In the following talk, Kelsey explains how the cissexism present in society today impacts data science as a field. They give examples from real-life on…
read more >>
Gender Shades

Accuracy, Artificial Intelligence, Face++, Gender Classification, IBM, Microsoft, Transparency

Author: Joy Buolamwini, Timnit Gebru; Publisher: MIT Media Lab; Publication Year: 2018. The following video discusses the Gender Shades project which evaluates the bias of 3 commercial artificial intelligence (AI) gender classification products (Microsoft, Face++,…
read more >>
Race, Technology, and Algorithmic Bias

Algorithmic Bias, Facial Recognition Systems, Racial Bias, Training Data

Author: Joy Buolamwini, Latanya Sweeney, and Darren Walker; Publisher: Radcliffe Institute for Advanced Study, Harvard University; Publication Year: 2019. The following video documents a conversation between Joy Buolamwini, Latanya Sweeney, and Darren Walker. Leading the…
read more >>
Keynote Speaker: Joy Buolamwini Presented by SpeakInc

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Exclusionary Experiences, Facial Recognition Systems, Gender Gap, IBM, Racial Gaps

Author: Joy Buolamwini Publisher: SpeakInc Publication Year: 2018 Summary: In the following video, Joy Buolamwini expands on her mission of the ‘Coded Gaze’, her term for algorithmic bias which can lead to discriminatory practices or…
read more >>
How I’m Fighting Bias in Algorithms

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Facial Recognition Systems, Fairness, Machine Learning, Representation in Training Datasets

Author: Joy Buolamwini; Publisher: TED; Publication Year: N/A. The following speech discusses how algorithmic bias, or the “coded gaze,” can lead to discriminatory practices. Machine learning is being used for facial recognition but a lack…
read more >>
Can You Hear the Will of the People in the Vote? Assessing Fairness in Redistricting via Monte Carlo Sampling

Algorithms, Congressional Maps, Election, Equity, Fairness, Gerrymandering, Voting Preferences

Author: Jonathan Mattingly; Publisher: Society for Industrial and Applied Mathematics; Publication Year: 2021. The following video is the author presenting his research on how local, state, and national elections depend on the underlying maps that…
read more >>