Tag: Artificial Intelligence

Sport Faces Big Data Dilemmas

Artificial Intelligence, Data Collection, Data Distribution, Data Usage, Tracking, Transparency, Wearable Devices

Author: Ronald Brouwer, Nathalie La Verge; Publisher: Deloitte.; Publication Year: N/A. The following article discusses how improvements in sports technology come with more opportunity for scrutiny on players. How would you like if your entire…
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Can We Protect AI from Our Biases?

Algorithms, Artificial Intelligence, Biased Algorithms, Biased Data, Criminal Justice System, Gender Bias, IBM, Tay, Training Data, Unbiased Algorithms, Unconscious Bias, Watson

Author: Robin Hauser; Publisher: TED; Publication Year: N/A. In the following talk, Robin Hauser talks about unconscious bias in artificial intelligence (AI) algorithms. As part of producing her new movie about unconscious bias, she became…
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Preventing Harmful AI Bias With Fairness Through Awareness

AI Transparency, Algorithmic Accountability Act, Algorithms, Artificial Intelligence, Artificial Intelligence Act, European Union, Explainability, Fairness, Transparency

Author: Rik Chomko; Publisher: Forbes; Publication Year: 2022. The following article describes how, from an equity standpoint, artificial intelligence (AI) transparency is vital for preventing bias that has the potential to penalize protected classes or…
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Ethics and AI: 3 Conversations Companies Need to Have

AI Ethics, Artificial Intelligence, Ethical Standards

Author: Reid Blackman, Beena Ammanath; Publisher: Harvard Business Review; Publication Year: 2022. The following article discusses how over the past few years, the question of how to address ethical problems relating to data has become…
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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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How does structural racism impact on data and AI?

Artificial Intelligence, Data Collection, Data Divide, Discriminatory Practices, Racism

Author: Reema Patel, Octavia Reeve, Andrew Strait; Publisher: The Ada Lovelace Institute; Publication Year: 2021. The following article talks about the “data divide” that exists between those who have access to artificial intelligence (AI) and…
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Can Algorithms Reduce Inequality?

Algorithms, Artificial Intelligence, Collaboration, Inequality, Policymakers

Author: Rediet Abebe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms can be designed to reduce inequality by bringing in diverse groups of stakeholders. Collaboration between policymakers and algorithm designers can improve…
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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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Executives Admit to Unethical Data Collection Practices, But There is a Solution

Artificial Intelligence, Data Laundering, Machine Learning Algorithms, Unethical Data Collection

Author: N/A; Publisher: PKWARE; Publication Year: 2021. The following article brings to light that there are companies out there that know they are unethically collecting data on consumers; however, there are some companies that are…
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