Category: Privacy

Chris Olah on What the Hell is Going on Inside Neural Networks

Black Box Algorithms, Data Interpretability, Google, Neural Networks

Author: Robert Wiblin, Keiran Harris, Chris Olah; Publisher: 80,000 Hours; Publication Year: 2021. The following podcast episode features Chris Olah, a researcher at Google focused on data interpretability, specifically as it relates to neural networks…
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Ethical Ways to Collect Data Responsibly

Consent, Data Collection, Third-Party Data, Transparency

Author: Shabl; Publisher: Stop Having a Boring Life; Publication Year: 2020. The following article details 4 main strategies to collect data in an ethical manner without infringing on people’s privacy or consent. These include transparency…
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The Ethical Questions That Haunt Facial-Recognition Research

Algorithms, China, Consent, Facial Recognition Systems, Surveillance

Author: Richard Van Noorden; Publisher: Nature; Publication Year: 2020. In the following article, science journalist Richard Van Noorden discusses how facial recognition technology is being used for malicious purposes. The Chinese government has abused facial…
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A Practical Guide to Building Ethical AI

AI Ethical Risk Framework, AI Ethics Program, Artificial Intelligence, Data Governance, Organizational Awareness

Author: Reid Blackman; Publisher: The Harvard Business Review; Publication Year: 2020. The following article describes how failing to account for ethical issues in artificial intelligence (AI) can lead to reputational, regulatory, and legal risks for…
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10 Big Data Analytics Privacy Problems

Accountability, Anonymity, Data Masking, Discrimination, E-Discovery, Inaccurate Data, Misinterpretations, Privacy Breaches, Privacy Risks, Responsibility, Security

Author: Rebecca Herold; Publisher: SecureWorld; Publication Year: 2014. The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4).…
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Responsible Artificial Intelligence is Good Business

AI Investment, Artificial Intelligence, Ethical Standards, Responsible AI Adoption, Return on Investment

Author: Raj Shekhar; Publisher: LSE Business Review; Publication Year: 2022. The following article focusses on how companies that adopt responsible artificial intelligence (AI) experience higher returns on their AI investment. Business leaders globally must coalesce…
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Cangrade Announces Patent for Removing Bias in AI Hiring

Adverse Impact Algorithm, Cangrade, Hiring, Hiring Software

Author: N/A; Publisher: Globe Newswire; Publication Year: 2022. The following article discusses how Cangrade received a patent on its “bias-free” hiring technology solution. Cangrade used an iterative Adverse Impact algorithm, meaning not only will the…
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Ethics in Data Science and Proper Privacy and Usage of Data

Data Ownership, Data Privacy, Data Science, OkCupid, Robinhood, Transparency

Author: Prateek Majumder; Publisher: Analytics Vidhya; Publication Year: 2022. The following blog post defines the concept of ethics in data science and emphasizes the importance of data privacy and ownership. Companies and organizations collecting and…
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Beyond Good Intentions: Navigating the Ethical Dilemmas Facing the Technology Industry

AI Trust, Business Processes, Data Privacy, Data Usage

Author: Paul Silvergate; Publisher: Deloitte. Insights; Publication Year: 2021. The following resource from Deloitte that plots stats for 5 ethics concerns and what people care about at the moment (in October 2021). The article includes…
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