In the expanding universe of AI Ethics discourse, the three most prominent concepts discussed are bias, discrimination, and privacy. Bias is the pre-condition that leads to discrimination, so we can say there are just two. This article is about bias and deliberate,…
Human history has an unfortunate record of discrimination and biases against each other that follow us from ancient times. A conscious effort towards developing inclusive and equal social systems is a necessity. In the increasingly automated world, where computers interact with humans,…
Artificial Intelligence (AI) is becoming increasingly prevalent in our every day lives, and has recently found its way into hiring practices all across the United States. In hopes of finding potential employees more efficiently, many employers are using machine-learning algorithms to search…
Lots of cities take pride in their rankings: the best place to live, the best place to work, the best place for single people, and so on. But what constitutes a “best place” for some may be misery for others. This was…
Machine learning and artificial intelligence have taken organizations to new heights of innovation, growth, and profits thanks to their ability to analyze data efficiently and with extreme accuracy. However, the inherent nature of some algorithms such as black-box models have been proven,…
It’s no longer considered science fiction fodder to imagine a human-level machine intelligence in our lifetimes. Year after year we see the status quo in AI research shattered as yesterday’s algorithms bear way to today’s systems. One day, perhaps within a matter…
When it comes to detecting bias in algorithms, researchers are trying to learn from the information security field – and particularly, from the bug bounty-hunting hackers who comb through software code to identify potential security vulnerabilities. The parallels between the work of these security…
Most artificial intelligence systems strive for 95% accuracy of results when benchmarked against the traditional methods of determining outcomes. But how can organizations safeguard against systems so the AI doesn’t inadvertently inject bias that affects the accuracy of results? Bias can be injected into…
‘Phrenology’ has an old-fashioned ring to it. It sounds like it belongs in a history book, filed somewhere between bloodletting and velocipedes. We’d like to think that judging people’s worth based on the size and shape of their skull is a practice…
A critical component of a successful employer-employee relationship is the employer’s fair and equitable treatment of employees, often embodied in the employer’s employee engagement, retention, and compensation practices. When it comes to compensation, U.S. employers must comply with federal and applicable state…
