Category: 2021

Time Series for Good

Forecasting, Forecasting for Social Good, Public Sector, Teaching, Time Series Analysis

Author: Bahman Rostami-Tabar, Kyle Polich; Publisher: Data Skeptic; Publication Year: 2021. The following podcast episode from the “Data Skeptic” podcast, hosted by Kyle Polich, interviews Bahman Rostami-Tabar about his work with the organization “Forecasting for…
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Detecting and Mitigating Bias in Natural Language Processing

Artificial Intelligence, Biased Word Embeddings, Debiasing, Decision-Making, Regulation, Word Embedding

Author: Aylin Caliskan; Publisher: Brookings; Publication Year: 2021. The following article looks at how billions of people using the internet every day are exposed to biased word embeddings. However, word embedding debiasing is not a…
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Biased AI is Not Just Bad for People, It’s Harmful for Businesses, Too

Artificial Intelligence, Biased AI, Biased AI Systems, Profitability, Virality

Author: Arthur Cole; Publisher: Venture Beat; Publication Year: 2021. The following article addresses social justice and ethical concerns regarding biased AI systems while also describing how biased AI systems can also be detrimental to businesses’…
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Data Sharing in Healthcare: Ethical Considerations for a Remote Era of Research

Big Data, Clinical-Trial Research, Contact Research Organizations, CROs, Data Sharing, Public Health

Author: Andrea Bastek; Publisher: MedCity News; Publication Year: 2021. The following article describes how the collection and distribution of big data has the potential to revolutionize the work done in clinical-trial research, particularly by contact…
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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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We Invited an AI to Debate its Own Ethics in the Oxford Union – What It Said was Startling

AI Threat, Algorithms, Artificial Intelligence, Information Warfare, Megatron Transformer, Nvidia, Oxford

Author: Alex Connock, Andrew Stephen; Publisher: The Conversation; Publication Year: 2021. The following article describes how an artificial intelligence (AI) algorithm was invited to debate alongside students in an Artificial Intelligence for Business program at…
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7 Types of Bias in Machine Learning

Bias, Bias Testing, Data Collection, Development Cycle, Diversity, Domain Expertise, High-Quality Data Labeling

Author: N/A; Publisher: Telus International; Publication Year: 2021. The following article discusses how ensuring a diverse team is important, but you can “enlist the help of someone with the domain expertise to review your collected…
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Robinhood App Hit by Data Breach Exposing Users’ Emails, Names

Cybersecurity, Data Breach, Hacker, Personal Information, Robinhood, Social Engineering

Author: AFP; Publisher: The Economic Times; Publication Year: 2021. The following article details how on November 3, 2021, a hacker snatched approximately 5 million email addresses and 2 million users’ names with a technique called…
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Why Embracing Ethical AI is Critical for Insurers

Analytics Governance, Artificial Intelligence, Bias, Documentation, Ethical Approach, Frameworks, Insurance, Quality Assurance, Subject Matter Expertise

Author: Abhishek Lall; Publisher: Verisk; Publication Year: 2021. The following article identifies 3 ways that AI can go wrong in the insurance industry: biased and hidden data, incomplete data, and gaps in subject matter expertise.…
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