Category: Blog Article

Interview with Alix Dunn

Agile Ethics, Diversity, Innovation

Author: Anna Scott; Publisher: Open Data Institute; Publication Year: 2018. The following article features Co-founder of the Engine Room and consultant Alix Dunn as they talk with Anna Scott about “agile ethics,” how innovative organizations…
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8 Ways to Prevent Ageism in Artificial Intelligence

Ageism, Artificial Intelligence, Barrier to Entry, Healthcare

Author: Anna Meyer; Publisher: Inc.; Publication Year: 2022. The following article looks at how ageism is an often overlooked -ism, especially in data ethics. However, ageism is happening more and more not only in AI…
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What to Do When AI Fails

Artificial Intelligence, Preparation, Reporting, Risks, Security, Transparency

Author: Andrew Burt, Patrick Hall; Publisher: O’Reilly; Publication Year: 2020. The following article describes that the better prepared organizations are to respond when risks become incidents, the more value they’ll be able to draw from…
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Ethical Frameworks for AI Aren’t Enough

Artificial Intelligence, Implementation, Metrics, Quantifying Potential Harm

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2020. The following article describes how many organizations have adopted a set of high-level principles to ensure that their AI makes decisions in an ethical fashion…
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How to Fight Discrimination in AI

Algorithmic Discrimination, Algorithms, Artificial Intelligence, Discrimination, Protected Classes, Unintentional Discrimination

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2020. The following article describes how ensuring that your AI algorithm doesn’t unintentionally discriminate against particular groups is a complex undertaking. What makes it so difficult…
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The AI Transparency Paradox

Algorithms, Artificial Intelligence, Bad Actors, Financial Risk, Reverse Engineering, Social Risk, Transparency

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2019. The following article describes how there are risks to achieving AI transparency. First, corporations often expose themselves to financial risk by publicizing what they are…
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3 Components CIOs Need to Create an Ethical AI Framework

Accountability, Artificial Intelligence, Artificial Intelligence Framework, Artificial Intelligence Systems, Decision-Making, Ethical Review Process, Evaluation, Fairness, Social Impact

Author: Anand Rao; Publisher: Information Week; Publication Year: 2021. The following article describes how only 20% of companies report having an ethical artificial intelligence framework in place, and just 35% have plans to improve the…
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The Tech That Comes Next: Technology Development for the Social Impact Sector

Accessibility, Expert Technologists, Future Technology, Human-Centered, Justice, Social Impact Sector, Tech Saviors

Author: Amy Sample Ward, Afua Bruce; Publisher: Porchlight; Publication Year: 2022. The following article discusses building future technology within the social impact sector by developing systems and services where humans are centered and justice is…
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Operationalizing Data Ethics in the Financial Services Sector

Algorithms, Artificial Intelligence, Banking & Finance, Financial Management

Author: N/A; Publisher: Allen & Overy; Publication Year: 2019. The following article discusses how like almost all industries, financial services is also being revolutionized by data and artificial intelligence algorithms, but artificial intelligence has its…
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