Tag: Transparency
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4 Principles of Responsible AI and Best Practices to Adopt Them
Data Access, Data Classification, Data Encryption, Fairness, Representation in Training Datasets, Responsible Artificial Intelligence, Synthetic Data, Training Data, Transparency, Usage RestrictionsAuthor: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by…
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Bias in AI: What it is, Types, Examples & 6 Ways to Fix It in 2022
Artificial Intelligence, Automation, Debiasing, Decision-Making, Diversify, Human-Driven Processes, Multidisciplinary, Representation in Training Datasets, Third-Party, Training Data, TransparencyAuthor: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…
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Big Data and Financial Ethics: The Significant Capabilities of
Artificial Intelligence Necessitate Human Guidance and InputAuthor: Billie Trinder; Publisher: Seven Pillars Institute; Publication Year: 2019. The following article argues that external enforcement of ethical principles in data analytics is unfeasible due to the pace of technological advancement and bureaucratic lag.…
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8 Ways to Ensure Your Companies AI is Ethical
Algorithms, Artificial Intelligence, Customer Collaboration, Machine Learning, Product Development, Release Framework, Responsible Tech, TransparencyAuthor: Barbara Cosgrove; Publisher: Workday; Publication Year: 2020. The following blog post gives technology companies 8 ways to incorporate ethical considerations into building their AI algorithms. 1). Define a common agreement about what AI ethics…
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How Can the Aviation Industry Make AI Safer?
Artificial Intelligence, Consistency, High-Risk Activities, Open Sharing, Reform, Regulation, Safety Measures, Standardization, Training Programs, TransparencyAuthor: Arathi Sethumadhavan, Joe Garvin; Publisher: World Economic Forum; Publication Year: 2022. The following article describes how now that the field of artificial intelligence is growing, data scientists and executives can benefit from looking to…
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Bad, biased, and unethical uses of AI
Admissions, Algorithms, Algorithms of Oppression, Amazon, Artificial Intelligence, Data Collection, Discrimination, Gender Bias, Hiring Software, LinkedIn, Medical School, Redlining, Transparency, UCLAAuthor: Anthony Macciola; Publisher: The Enterprisers Project; Publication Year: 2019. The following article provides 4 examples of bad, biased, or unethical uses of AI, as well as guidance for Chief Information Officers (CIOs) on how…
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What to Do When AI Fails
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…