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Category: bias

  • How Your Prompts Lead AI Astray

    How Your Prompts Lead AI Astray Practical tips to recognise and avoid prompt bias. The post How Your Prompts Lead AI Astray appeared first on Towards Data Science. Daphne de Klerk Go to original source

  • Fairness Pruning: Precision Surgery to Reduce Bias in LLMs

    Fairness Pruning: Precision Surgery to Reduce Bias in LLMs From unjustified shootings to neutral stories: how to fix toxic narratives with selective pruning The post Fairness Pruning: Precision Surgery to Reduce Bias in LLMs appeared first on Towards Data Science. Pere Martra Go to original source

  • Why We Should Focus on AI for Women

    Why We Should Focus on AI for Women A simulation study on gender disparities entrenched in AI. The post Why We Should Focus on AI for Women appeared first on Towards Data Science. Shuyang Go to original source

  • We Need a Fourth Law of Robotics in the Age of AI

    We Need a Fourth Law of Robotics in the Age of AI Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries, and reshaping how we communicate. Yet, alongside its undeniable benefits, AI has also ignited a range of ethical and social dilemmas that our existing regulatory frameworks have struggled…

  • Fighting Fraud Fairly: Upgrade Your AI Toolkit

    Fighting Fraud Fairly: Upgrade Your AI Toolkit A practical approach to address bias in AI systems Photo by the author As sophisticated AI systems are increasingly used in decision-making, ensuring fairness has become a priority, with a growing need to prevent algorithms from disproportionately affecting vulnerable groups in sensitive areas like the justice or educational system. One…

  • Your Classifier Is Broken, But It Is Still Useful

    Your Classifier Is Broken, But It Is Still Useful When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence. Photo by Rod Long on Unsplash But that estimate is biased, because no classifier is perfect. For example, if…

  • How to Ensure the Stability of a Model Using Jackknife Estimation

    How to Ensure the Stability of a Model Using Jackknife Estimation How to ensure the robustness of a model and detect influential data observations Continue reading on Towards Data Science » Paula LC Go to original source

  • Why “AI Can’t Reason” Is a Bias

    Why “AI Can’t Reason” Is a Bias We humans are proud creatures Continue reading on Towards Data Science » Rafe Brena, Ph.D. Go to original source