Keep up to date with recent news in the world of fairness, our company updates as well as our technical analysis.
Today we're proud to release an open-access taster version of our platform, allowing anyone to upload their data to be analysed and any biases mitigated before redownloading.ย
Companies are turning to Artificial Intelligence to optimise their recruitment activities from application screening to interview analysis, but what risks does this pose to the rights of candidates and the outcomes for the recruiting company?ย
Biased decisions in the legal sector could pose the biggest threat to an individual's liberties out of all the areas we've looked at; hereโs how biased AI is impacting legal proceedings.
As organisations implement AI to manage people better, what are the risks, and how might bias result in undesirable outcomes?
The presence of biased data comprises one of the key risks to harnessing the benefits of banks deploying AI both in personal and commercial banking.
We want to ensure AI is free from bias to make the future fairer. In the case of Insurance, it's a service thatโs mandatory in many instances and whilst the industry is discriminating in pricing risk, it should be free from bias which is difficult when the AI and underlying data is biased.ย
AI algorithms are flawed by biases caused by the real data they are trained on. The difference with healthcare is the actual consequences that these biases bear.
