Tag: Artificial Intelligence
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Preventing Data Bias: Why Data Ethics Needs a Champion
Artificial Intelligence, Artificial Intelligence Systems, Automation, Biased Data, Data Decision-Making, Propagating Bias, UpskillingAuthor: Alan Jacobson; Publisher: Digit News; Publication Year: 2022. The following article illustrates data’s profound impact on the world around us today. The author then states the power of automated data decision-making, such as artificial…
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An Evaluation of the Job Landscape and Trends in AI Ethics
Artificial Intelligence, Demographic Bias, Geographic Bias, Job Landscape, Private Sector, StatisticsAuthor: Quentin J Louis, Joshua Walker, Katherine Lai, Victoria Matthews, Kitty Atwood, Susanna Raja, Ayomikun Bolaji; Publisher: Data Ethics 4 All; Publication Year: 2022. The following resource is an in-depth evaluation with three recommendations including…
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Automated Soccer Head Impact Exposure Tracking Using Video and Deep Learning
Artificial Intelligence, Data Science, Data-Driven Algorithm, Moneyball, Sports Industry, Video Information, Video RecognitionAuthor: Ahmad Rezaei and Lyndia C. Wu; Publisher: Nature; Publication Year: 2022. The following article is a practical and strong use case for AI-driven technologies in video recognition. This data-driven algorithm uses video information to…
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6 Ethical Issues in Healthcare in 2020
Artificial Intelligence, Big Data, Customized Medicine, Dehumanizing Patients, Ethical Issues, Financial Management, Healthcare, Medical Emergencies, Patient Privacy, Population Health Data, RoboticsAuthor: N/A; Publisher: AdventHealth University; Publication Year: 2020. The following article highlights 6 ethical issues in healthcare in 2020 (and beyond). The ethical issues are 1). taking advantage of Big Data without dehumanizing patients; 2).…
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Mapping AI and Data Ethics
Artificial Intelligence, Data Justice, Data Visualizations, Disciplinary Isolation, Ethical Relevance, Non-Dominant Perspectives, Responsible Artificial IntelligenceAuthor: N/A; Publisher: The Ada Lovelace Institute; Publication Year: N/A. The following resource explains the major challenge in mapping AI and data ethics concerns what constitutes AI and data ethics in the first place. The…
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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 ExpertiseAuthor: 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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Reducing Bias in AI-Based Financial Services
Accuracy, Artificial Intelligence, Banking & Finance, Bias, Data Governance, Data Governance Programs, Discrimination, Ethical Data Frameworks, Fairness, Gender, Machine Learning, Modeling, Predictions, RaceAuthor: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions.…
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5 Things Lawyers Need to Know About AI
Algorithmic Discrimination, Artificial Intelligence, Artificial Intelligence Misuse, Artificial Intelligence Transparency, Federal Reserve, Law, Lawyer, Legal Issues, Legal Risks, Machine Learning, Model Bias, Model Risk Management Guidance, Professional Standards, Statistical Tests, Training DataAuthor: Aaina Agarwal, Patrick Hall, Sara Jordan, Brenda Leong; Publisher: Future of Privacy Forum; Publication Year: 2021. The following article focuses on looking at the ethics of AI use from a lawyer’s perspective, providing some…