Author: lnbressa

The Danger of AI is Weirder Than You Think

Artificial Intelligence, Artificial Intelligence Development

Author: Janelle Shane; Publisher: TED; Publication Year: 2019. The following TEDx Talk explores the nature of relationships between humans and artificial intelligence (AI). Shane proposes that AI was a tool that humans (particularly data scientists)…
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Ethical Considerations in Social Media Analytics in the Context of Migration: Lessons Learned from a Horizon 2020 Project

Consent, Migration, Social Media, Vulnerable Populations

Author: Jamie Mahoney; Publisher: SAGE Journals; Publication Year: 2022. The following article discusses how online social platforms are used all over the world, which makes them an appealing option for investigating various social phenomena like…
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Bias in Speech Recognition

Racial Bias, Speech Recognition Algorithms, Underrepresented Datasets

Author: Jamie Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how speech recognition algorithms are less effective when it comes to Black people. An algorithm was given a matched subset of identical…
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Using Unethical Data to Build a More Ethical World

Algorithms, Debiasing, Microsoft, Transparency, Twitter Bot, Virtual Assistant

Author: Jaime Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how it is commonly known that there are lots of algorithms that are biased in one way or another. In this paper,…
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Ethics and Artificial Intelligence: A Policymaker’s Introduction

Academic Internal Review Boards, Artificial Intelligence, Georgetown University, Principles of Corporate Social Responsibility, Regulation

Author: Jamie Baker; Publisher: Center for Security and Emerging Technology; Publication Year: 2021. The following article focuses on how policy can affect how artificial intelligence (AI) is utilized and both the negative and positive connotations…
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AI can be Sexist and Racist — It’s Time to Make it Fair

Accuracy, Algorithms, Artificial Intelligence, Cultural Bias, Ethnic Bias, Gender Bias, Training Data

Author: James Zou, Londa Schiebinger; Publisher: Nature; Publication Year: 2018. The following article discusses different sources of bias, how to recognize the bias, and what to do about it. They bring up that a major…
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Getty Images Bans AI-Generated Content Over Fears of Legal Challenges

AI-Generated Images, Artificial Intelligence, Data Privacy, Data Usage, Getty Images, Training Data

Author: James Vincent; Publisher: The Verge; Publication Year: 2022. The following article discusses how Getty Images has banned artificial intelligence (AI)-generated images from its website, citing concerns over the legality of such images. The company…
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Amazon Shows off Alexa Feature that Mimics the Voices of Your Dead Relatives

Alexa, Amazon, Deepfake

Author: James Vincent; Publisher: The Verge; Publication Year: 2022. The following article discusses how Amazon has developed a feature where Alexa can mimic the voice of a dead relative. While the feature has not been…
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How Can Data Science Fight Social Injustice?

Data Integration, Data Standardization, Law Enforcement

Author: James Nelson; Publisher: Medium; Publication Year: 2020. The following article delves into the divide between law enforcement and the communities that they are entrusted with protecting, and suggests that data science is a possible…
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