Tag: Explainability
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AI has a Dangerous Bias Problem — Here’s How to Manage It
Accountability, Algorithms, Artificial Intelligence, Biased AI, Data Misuse, Explainability, Security, TransparencyAuthor: Thomas Macaulay, Alejandro Saucedo; Publisher: The Next Web; Publication Year: 2022. The following article discusses how almost all artificial intelligence (AI) algorithms are inherently biased as they do exactly what us the programmers tell…
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Australia’s Artificial Intelligence Ethics Framework
Accountability, Australia, Contestability, Environmental Wellbeing, Ethical Framework, Explainability, Fairness, Human Wellbeing, Privacy Protection, Reliability, Security, Societal Wellbeing, TransparencyAuthor: N/A; Publisher: Australian Government; Publication Year: 2022. The following guidelines provided by the Australian Government has a list of 8 items that make up their data ethics framework. These include: 1). Human, societal and…
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Ethical AI Governance Framework
AI Governance Framework, Artificial Intelligence, Competence, Explainability, Stakeholder Engagement, Sustainability, TransparencyAuthor: N/A; Publisher: Saidot; Publication Year: 2021. The following article outlines 6 building blocks of an ethical artificial intelligence (AI) governance framework. These include strategy and values (acceptable use of AI in alignment with business…
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Preventing Harmful AI Bias With Fairness Through Awareness
AI Transparency, Algorithmic Accountability Act, Algorithms, Artificial Intelligence, Artificial Intelligence Act, European Union, Explainability, Fairness, TransparencyAuthor: Rik Chomko; Publisher: Forbes; Publication Year: 2022. The following article describes how, from an equity standpoint, artificial intelligence (AI) transparency is vital for preventing bias that has the potential to penalize protected classes or…
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What is AI Ethics?
AI Lifecycle, Artificial Intelligence, Data Privacy, Explainability, Fairness, IBM, Robustness, TransparencyAuthor: 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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What You Need to Know About AI Ethics
Accountability, Artificial Intelligence, Data Handling, Design Choices, Explainability, Fairness, Human Oversight, Safety, Security, System Capabilities, TransparencyAuthor: John Edwards; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial Intelligence (AI) is becoming more popular as tech continues to grow, but with that, the number and intensity of concerns…
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What Do We Do About the Biases in AI?
Algorithms, Amazon, Artificial Intelligence, Bias Mitigation, Explainability, Fairness, Human Bias, Racial Bias, TransparencyAuthor: James Manyika, Jake Silberg, Brittany Presten Publisher: Harvard Business Review Publication Year: 2019 Summary: The following article discusses how artificial intelligence (AI) can help identify and reduce the impact of human biases. But it…