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Six Beliefs That Make Your Work In Data Science Riddled With Biased
Author(s): Adam Ross Nelson Originally published on Towards AI. You can’t eliminate bias in your work, but You can manage it; here is how This member-only story is on us. Upgrade to access all of Medium. If you’ve ever thought: My experience …
How To Train Your AI Dragon (Safely, Legally And Without Bias)
Author(s): Charles Towers-Clark Originally published on Towards AI. How to source data correctly for AI algorithms and reduce bias-ness Just like the dragons in Dreamworks’ 2010 film ‘How to Train Your Dragon’, AI systems are often … [+] Dreamworks Animation Untrained dragons …
Using AI to control AI: How to Prevent Creating Biased Datasets
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. What are labels? In the last few days, MIT took down a cited 80 million tiny images 32×32 size because it contained labels (if you do not know what it means, I will clarify …
Beyond Accuracy: How to Enable Responsible AI Development using Amazon SageMaker
Author(s): John Leung Originally published on Towards AI. Artificial Intelligence (AI) models are becoming more and more complex. Google’s T5-XXL boasts an impressive 11 billion parameters, while OpenAI’s GPT-3 ups the ante with a whopping 175 billion parameters. In the pursuit of …
How To Make AI Fair And Less Biased
Author(s): Padmaja Kulkarni Originally published on Towards AI. A practical framework to mitigate biases and risks in AI In the wake of Elon Musk firing the whole ‘Ethical AI’ team at Twitter [1], I believe it is more important than ever to …
What is sampling and why it’s important?
Author(s): Ibrahim Israfilov Originally published on Towards AI. Statistics Intro This article will cover the basic notions of econometrics and OLS which include the first steps before starting the analysis, namely testing the assumptions for the unbiasedness of OLS. No matter whether …
Bias-variance Decomposition 101: Step-by-Step Computation.
Author(s): Diletta Goglia Originally published on Towards AI. Photo by Bekky Bekks on Unsplash Have you ever heard of the “bias-variance dilemma” in ML? I’m sure your answer is yes if you are here reading this article 🙂 and there is something …
6 Types of AI Bias Everyone Should Know
Author(s): Ed Shee Originally published on Towards AI. Fairness In my previous blog, we looked at the difference between Bias, Fairness, and Explainability in AI. I included a high-level view of what Bias is but this time we’ll go into more detail. …
How Regularization Helps in Data Overfitting
Author(s): Saikat Biswas Originally published on Towards AI. Top highlight Source: Unsplash Surely helps in reducing the pain of lookout for a perfect model “Knowledge is the treasure and practice is the key to it” Let me start this article with a …
Combating Media Bias with AWS Amazon Comprehend
Author(s): Bence L. Tóth Originally published on Towards AI. Combating Media Bias with NLP U+007C Towards AI Photo by Randy Colas on Unsplash In the world of fake news and ideology-driven subjective media coverage, it is questionable which sources of journalism can …
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