Resources
Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias, and data tools.
Why AI Governance Is Important for Building More Trustworthy, Explainable AI
Media Type: Website Article
Readability:
- Intermediate
Topic: AI ethics and policy
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Why Algorithmic Auditing Can’t Fully Cope with AI Bias in Hiring
Media Type: Website Article
Readability:
- Intermediate
Topic: AI ethics and policy
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Why Are Artificial Intelligence Systems Biased?
Media Type: Website Article
Readability:
- Intermediate
Topic: AI ethics and policy
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Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson from an Explainable AI Competition
Media Type: Website Article
Readability:
- Expert
Topic: AI ethics and policy
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Why Businesses Need Explainable AI—and How to Deliver It
Media Type: Website Article
Readability:
- Expert
Topic: AI ethics and policy
Tags:
Why Companies Are Thinking Twice about Using Artificial Intelligence
Media Type: Website Article
Readability:
- Intermediate
Topic: AI ethics and policy
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Why Companies Need Artificial Intelligence Explainability
Media Type: Website Article
Readability:
- Intermediate
Topic: AI ethics and policy
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Why Data Remains the Greatest Challenge for Machine Learning Projects
Media Type: Website Article
Readability:
- Intermediate
Topic: AI design and methods (for AI experts)
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Why Diversity Should Have a Critical Impact on Data Privacy
Media Type: Website Article
Readability:
- Intermediate
Topic: Work for people with disabilities in data science
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Why Does AI Have to Be Nice? Researchers Propose “Antagonistic AI”
Media Type: Website Article
Readability:
- Intermediate
Topic: AI design and methods (for AI experts)
Tags: