Abhinav RaghunathanThe Ethical AI Ecosystem — Market MapConstituents, trends, and dynamics for Q1 2022.May 10, 2022May 10, 2022
Abhinav RaghunathanThe Five Barriers to FairnessThe five most formidable barriers to achieving widescale adoption in the ethical AI space.Mar 12, 2022Mar 12, 2022
Abhinav Raghunathan“More than 1 in every 3 organizations have suffered from AI bias”Highlights from the DataRobot “State of AI Bias” Report.Jan 21, 2022Jan 21, 2022
Abhinav RaghunathanThe Ethical AI Startup EcosystemA deep dive into the startups devoted to detecting bias within the data science lifecycle — and four predictions for the future.Jan 20, 20222Jan 20, 20222
Abhinav RaghunathaninTowards Data ScienceLess is More: Labeled data just isn’t as important anymoreNew research into semi-supervised learning suggests that less labeled data actually makes machine learning algorithms more powerful.Jan 10, 2022Jan 10, 2022
Abhinav RaghunathaninTowards AIA Summary of AI Ethics and Bias in 2021This year was a big one for bias and ethics in AI. Here are the biggest stories.Jan 5, 2022Jan 5, 2022
Abhinav RaghunathaninTowards Data ScienceContext Matters: Why AI is (still) bad at making decisions.AI just isn’t smart enough to be ethical yet (though it is smart enough to collect massive amounts of data on you), but here’s one idea…Dec 31, 2021Dec 31, 2021
Abhinav RaghunathaninTowards Data ScienceDeriving the “ideal” movie plot from dataA sentiment-driven method of identifying which kind of plotline maximizes revenue.Feb 25, 20211Feb 25, 20211
Abhinav RaghunathaninTowards Data ScienceSimulating the FIFA World Cup 2022Who does the data choose to win the largest international football tournament yet?Dec 31, 20206Dec 31, 20206
Abhinav Raghunathan2020 is the best year in the last two decades to be an entrepreneurEntrepreneurship looks better than ever in 2020 and beyond. Here’s why.Sep 7, 2020Sep 7, 2020