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Nice layperson intro to machine learning.
Artificial intelligence (AI) research is routinely criticized for its real and potential impacts on society, and we lack adequate institutional responses to this criticism and to the...
The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities.
Experts say fatal flaws in the methodology of many machine learning papers make it hard to have faith in published claims.
Just 6% of respondents said they ensure AI is used ethically and responsibly by making development teams diverse.
Executive Summary The ever-increasing amount of user-generated content online has led, in recent years, to an expansion in research and investment in automated content analysis tools. Scrutiny of automated content analysis has accelerated during the COVID-19 pandemic, as social networking services have placed a greater reliance on these tools due to concerns about health risks […]
These fallacies give a false sense of confidence about how close we are to achieving artificial general intelligence, and what this tech can do for us.
Artificial intelligence offers great opportunity, but it also brings potential hazards—this article presents 16 of them.
It has become trivial to point out that algorithmic systems increasingly pervade the social sphere. Improved efficiency—the hallmark of these systems—…
Recent, rapid rises in computing power have led to a massive influx of studies across fields using advanced analysis methods, such as artificial intelligence (AI) and computational modeling. The complexity—and, at times, flashiness—of these methods means that science journalists have a unique responsibility and role to play in communicating the results, without hype. A greater understanding of AI and computational approaches and their challenges will help science journalists ask the right questions and spot red flags.
50-ish words you can use to show that you care without incriminating yourself.
Can Google be trusted to evaluate its own AI?
Big Tech has used its power to control the field of AI ethics and avoid accountability. Now, the ouster of Timnit Gebru is putting the movement for equitable tech in the spotlight.
For better accountability, we should shift the focus from the design of these systems to their impact.
The long read: Josiah Elleston-Burrell had done everything to make his dream of studying architecture a reality. But, suddenly, in the summer of 2020, he found his fate was no longer in his hands
A growing industry wants to scrutinize the algorithms that govern our lives—but it needs teeth
Over the past several years, increased awareness of racial inequity in policing, combined with increased scrutiny of police technologies, have sparked concerns that new technologies may aggravate ineq...
Ready or not, powerful text-generation AI will soon be assuming roles of customer service reps and video game characters
In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the m...