Tag: Algorithms
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Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare
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…
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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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Critics Raise Alarm Over Big Tech’s Most Powerful Tools
Author: Richard Water; Publisher: Financial Times; Publication Year: 2021. The following article discusses how big tech companies are using “Dark Patterns” in order to nudge their userbase into certain patterns of behavior. In a “race…
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Can Algorithms Reduce Inequality?
Author: Rediet Abebe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms can be designed to reduce inequality by bringing in diverse groups of stakeholders. Collaboration between policymakers and algorithm designers can improve…
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The Real Reason to be Afraid of Artificial Intelligence
Accountability, Algorithms, Artificial Intelligence, Biased Data, COMPAS Program, Machine Learning, Model Training, Robotics, TransparencyAuthor: Peter Haas; Publisher: TEDx Talks; Publication Year: 2017. The following article features Peter Haas, who actually works in robotics at Brown University, who is afraid of robots. The example of how to train a…
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How Artificial Intelligence Can Deepen Racial and Economic Inequities
Author: Olga Akselrod; Publisher: ACLU; Publication Year: 2021. The following article presents a direct call to action to law makers to increase legislation to prevent against bias and discrimination in artificial intelligence (AI) algorithms. The…
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Big Data Phenotyping in Rare Diseases: Some Ethical Issues
Author: Nina Hallowell, Michael Parker, Christoffer Nellåker; Publisher: Genetics in Medicine; Publication Year: 2018. The following article discusses how computational phenotyping (using machine learning algorithms [MLAs] to analyze photographic images) has improved healthcare experience for…