Category: Frameworks
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Inequality in the Data Science Industry
Algorithms, Automation, Bias Avoidance, Gender Differences, Hard-Coded Racism, Malicious Actors, Recidivism Rates, Representation in Training Datasets, Weapons of Math DestructionAuthor: Aisulu Omar; Publisher: Towards Data Science; Publication Year: 2022. The following article discusses how data scientists should be more cognizant of the role they play in organizations. Their skill set as a tool can…
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7 Types of Bias in Machine Learning
Bias, Bias Testing, Data Collection, Development Cycle, Diversity, Domain Expertise, High-Quality Data LabelingAuthor: 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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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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FTC Sues Data Broker for Letting People Track Health Clinic Visitors
Abortion, Federal Trade Commission, Justice, Kochava, Law, Personal Health, Personal Safety, Roe v. Wade, Selling DataAuthor: Adi Robertson; Publisher: The Verge; Publication Year: 2022. The following article discusses a recent lawsuit brought by the Federal Trade Commission (FTC) against a company called Kochava that was selling data, which in some…
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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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Virtual Assistants and Ethical Implications
Author: Abhishek Kaul; Publisher: InTech Open; Publication Year: 2021. The following article discusses how consumers of a brand can have poor experiences and develop a lack of trust in the brand if virtual assistants are…