AI Makes Surveillance Smarter and More Ethical
AI empowers surveillance systems to achieve objectives effectively while introducing checks that uphold civil liberties.
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Who’s Responsible for Biased AI Systems?
AI systems can unintentionally perpetuate harmful biases. We discuss ethical frameworks to hold organizations accountable for unfair AI.
Who’s Responsible for Biased AI Systems? Read More »
Exposing Hidden Biases: The Key to Equality
Uncover how implicit biases shape our judgments and actions – and what we must do to override them.
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Correcting Imbalanced Datasets: A Key to Fair and Effective AI
Imbalanced training data fuels unfair AI – here’s why oversampling, undersampling and more help.
Correcting Imbalanced Datasets: A Key to Fair and Effective AI Read More »
AI Governance: Building Responsible Systems for a Better Future
AI governance requires cooperation between the tech sector, policymakers and civil society. We discuss power balances and oversight models.
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Automated Systems: Who’s Really in Control?
Investigate how automated systems can discriminate due to data biases – and how to make them more ethical.
Automated Systems: Who’s Really in Control? Read More »
The Ethical AI Professional: Nurturing Responsible Talent
Discover how to instill a strong sense of ethics and responsibility in your AI talent pool.
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Establishing an AI Review Board
As AI systems take on more responsibilities, should we create independent review boards to assess accountability?
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Corporate AI Labs: Innovation at Scale
Explore how large corporations are fostering AI innovation through in-house labs and startup collaborations.
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