To understand the problem of bias in artificial intelligence (AI), we have to understand the definitions of bias. The common definition of bias is that algorithms learn whatever patterns the creator of the data presents. AI bias is a bias that mirrors the prejudice…
Machine learning models are increasingly used to make decisions or to inform decisions. For e.g. A model might influence a decision for approval of a loan, screening candidate resumes for a job application, etc. Such decisions are crucial and we need to…
Here’s an astounding statistic: Between 2015 and 2019, global use of artificial intelligence grew by 270%. It’s estimated that 85% of Americans are already using AI products daily, whether they now it or not. It’s easy to conflate artificial intelligence with superior intelligence, as though machine learning based on massive…
On Wednesday, London-based Synthesized launched a platform to help organizations identify and rectify biases in their data. Synthesized touts the platform as the “first publicly available solution to accurately detect and remove biases in data.” A “freemium” Community Edition of the platform designed to mitigate…
Bias is a major topic of concern in mainstream society, which has embraced the concept that certain characteristics — race, gender, age, or zip code, for example — should not matter when making decisions about things such as credit or insurance. But while…
SHALINI KANTAYYA IS the documentary filmmaker behind the recent films Catching the Sun and Coded Bias, which premiered this month online. Coded Bias follows MIT researcher Joy Buolamwini as she investigates and combats the racial disparities of facial recognition for people of color, in both impact and accuracy. As it…
The success of any AI application is intrinsically tied to its training data. You don’t just need the right data quality and the right data volume; you also have to proactively ensure your AI engineers are not passing their own latent biases…
Sooner or later, AI-economist machines will replace human economists in many areas. Unsupervised or reinforcement learning algorithms that can brute force the infinite set of relations and variables will revolutionise economics. AI bias in economic policymaking can be reduced but will be…
Twitter has announced its first algorithmic bias bounty challenge, offering cash prices ranging from $500 to $3,500 for those who can help the social media giant identify a range of issues. After significant backlash last year, the company admitted in May that its automatic cropping algorithm repeatedly…
As we are leveraging data for making significant decisions that affect individual lives in domains such as health care, justice, finance, education, marketing, and employment, it is important to ensure the safe, ethical, and responsible use of AI. In collaboration with the Aether…
