Tag: IBM

Can We Protect AI from Our Biases?

Algorithms, Artificial Intelligence, Biased Algorithms, Biased Data, Criminal Justice System, Gender Bias, IBM, Tay, Training Data, Unbiased Algorithms, Unconscious Bias, Watson

Author: Robin Hauser; Publisher: TED; Publication Year: N/A. In the following talk, Robin Hauser talks about unconscious bias in artificial intelligence (AI) algorithms. As part of producing her new movie about unconscious bias, she became…
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What is AI Ethics?

AI Lifecycle, Artificial Intelligence, Data Privacy, Explainability, Fairness, IBM, Robustness, Transparency

Author: Phaedra Boinodiris; Publisher: IBM Technology; Publication Year: 2021. The following article discusses how artificial intelligence (AI) is making decisions that directly impact all of us. People assume that because AI is a machine, the…
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Designing Ethical AI-Practices & Processes

Artificial Intelligence, Ethical AI, Fairness, IBM

Author: Mia Shah-Dand; Publisher: AI Ethics Diaries: Keeping it Real Podcast; Publication Year: 2022. The following podcast episode features Milena Pribic, a senior artificial intelligence (AI) designer at IBM, who gives advice on building ethical…
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On IBM Leaving the Facial Recognition Industry

Artificial Intelligence, Clearview, Facial Recognition Systems, IBM, New York Police Department, South Wales Police

Author: Martin Barakov; Publisher: Medium; Publication Year: 2020. The following article discusses how racial recognition technologies have been criticized for their lack of usefulness and ability to generate true positives for years now. This article…
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The Ethics of Collecting Data

Data Collection, IBM, Personal Autonomy, Personal Empowerment, Simplicity, Transparency

Author: Marie Wallace; Publisher: TED; Publication Year: 2014. The following video is a TED talk discussing the issue of privacy in data collection. The speaker gives an overview of the issue of privacy, how it…
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IBM’s Photo-Scraping Scandal Shows What a Weird Bubble AI Researchers Live In

Artificial Intelligence, Data Scraping, Facial Recognition Systems, Flickr, IBM, Instagram, New York Times, Public Data, Wall Street Journal, Web Scraping

Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how in March of 2019, NBC released a story with the headline “Facial recognition ‘dirty little secret’: Millions of online photos…
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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++,…
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IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice

AI Abuse, AI Bias, Equity, Facial Recognition Systems, IBM

Author: Joy Buolamwini, Aaina Agarwal, and Sasha Costanza-Chock; Publisher: The Medium; Publication Year: 2020. The following article applauds IBM for the decision to restrict sales of facial recognition technology in response to bias and abuse.…
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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…
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