Black and Latino Americans hoping to buy a home in 2021 still face systemic discrimination in everything from loan approval to higher interest rates. The same is true for LGBTQ borrowers and women, who pay higher interest rates than men in 49…
LISBON, Nov 3 (Reuters) – (This Nov. 3 story corrects to change BLM co-founder first name to Ayo from Opal at her request) As concerns grow over racial bias in artificial intelligence, Black Lives Matter (BLM) co-founder Ayo Tometi urged the tech…
In a previous post, I described how to make sure that marketers minimize bias when using AI. When bias sneaks in, it will significantly impact efficiency and ROAS. Hence, it’s critical for marketers to develop concrete steps to ensure minimal bias in the…
Data bias in machine learning is a type of error in which certain elements of a dataset are more heavily weighted and/or represented than others. A biased dataset does not accurately represent a model’s use case, resulting in skewed outcomes, low accuracy…
When faced with a challenge, human beings are generally quick to first try to develop creative solutions. We tend to pick the most logical explanation we can find, ignoring all contradictory or unprovable hypotheses in the process. However, this irrational pattern of…
A child wearing sunglasses is labeled as a “failure, loser, nonstarter, unsuccessful person.” This is just one of the many systemic biases exposed by ImageNet Roulette, an art project that applies labels to user-submitted photos by sourcing its identification system from the…
On 1 March, more than 40 civil organizations called on European governments and lawmakers to ban Artificial Intelligence(AI)-based predictive and profiling systems while fighting crime. The call comes amid attempts by the European Union to regulate the use of AI in its…
If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the model’s predictions will be unfair when it is deployed…
A key selling point for emerging fintech is the potential to expand financial access to more people — but there is a potential for biases built into the technology to do the opposite. The rise of online lenders, digital-first de novo banks,…
A study from MIT has used machine learning techniques to identify biased phrasing across around 100 of the largest and most influential news outlets in the US and beyond, including 83 of the most influential print news publications. It’s a research effort that shows…
