We have accepted the use of artificial intelligence (AI) in complex processes — from health care to our daily use of social media — often without critical investigation, until it is too late. The use of AI is inescapable in our modern…
We have accepted the use of artificial intelligence (AI) in complex processes—from health care to our daily use of social media—often without critical investigation, until it is too late. The use of AI is inescapable in our modern society, and it may perpetuate…
With New York City’s passage of one of the toughest U.S. laws regulating the use of artificial intelligence tools in the workplace, federal officials are signaling that they too want to scrutinize how that new technology is being used to sift through a growing…
AI deployment in the enterprise skyrocketed as the pandemic accelerated organizations’ digital transformation plans. Eighty-six percent of decision-makers told PricewaterhouseCoopers in a recent survey that AI is becoming a “mainstream technology” at their organization. A separate report by The AI Journal finds that most executives anticipate that AI…
A research collaboration between UC San Diego and Adobe Research has proposed an innovative and proactive solution to the lack of racial and gender diversity in image search results for traditionally WASP-dominated occupations: the use of Generative Adversarial Networks (GANs) to create…
Artificial intelligence (AI) algorithms are generally hungry for data, a trend which is accelerating. A new breed of AI approaches, called lifelong learning machines, are being designed to pull data continually and indefinitely. But this is already happening with other AI approaches,…
A real world built and designed using data for men ignores the needs of half its population. This holds true even when artificial intelligence is harnessed to solve challenges facing all of humanity. The default human at the centre of most data…
If you use deep learning for unsupervised part-of-speech tagging of Sanskrit, or knowledge discovery in physics, you probably don’t need to worry about model fairness. If you’re a data scientist working at a place where decisions are made about people, however, or an academic researching…
Forms of automation such as artificial intelligence increasingly inform decisions about who gets hired, is arrested, or receives health care. Examples from around the world articulate that the technology can be used to exclude, control, or oppress people and reinforce historic systems of inequality that predate…
The topic of AI fairness metrics is as important to society as it is confusing. Confusing it is due to a number of reasons: terminological proliferation, abundance of formulae, and last not least the impression that everyone else seems to know what…
