Automation bias is the new medical error
In 1999, researcher Dr. Kathleen Mosier placed 25 experienced pilots in a high-tech flight simulator. Her goal was to measure their response to inaccurate automated alerts. When co...
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In 1999, researcher Dr. Kathleen Mosier placed 25 experienced pilots in a high-tech flight simulator. Her goal was to measure their response to inaccurate automated alerts. When co...
People pull toward pre-selected options rather than actively choosing alternatives.When a choice arrives with one option already set, most people leave it in place, regardless of w...
A new study finds that people often actively avoid seeking additional information when it might complicate their decision or create moral discomfort.
Generative AI inherits the biases of its training data, and most users don't notice.
Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said.
Researchers warn that a growing ‘algorithmic monoculture’ is locking qualified minority candidates out of the job market.
AI can improve decisions or make them worse. The difference isn’t how much people use it, but whether they know when to follow its advice.
Findem’s Tina Shah Paikeday examines new research from the Stanford Institute for Human-Centered AI showing how widely used hiring tools can reinforce bias. Paikeday argues that re...
AI has transformed our lives, and in many ways for the good. But we have to be aware when it gives us false confidence.
Observation is no substitute for participation. As automation replaces hands-on entry-level work, we limit learning and create a dangerous skill gap for the next generation.
<p>Research found that a candidates&#8217; response time can shape hiring decisions as strongly as traditional qualifications.</p>
A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches. The post Solving the “Whac-A-Mole Dilemma”: A Smarter...
The debate around AI in hiring has grown louder and, in many ways, more confused. The cautions around AI are driving most of the conversation. What is getting drowned out are some...
Conservatism bias is the tendency to preserve the status quo, or existing conditions, rather than adopting new or innovative approaches. It is often associated with a reluctance to...
Outcome bias refers to the tendency to judge a decision based on its outcome rather than the quality of the decision at the time it was made. Some poor decisions ... The post Outco...
Article 8 of 9 in the series.Picture a Sprint Review where a stakeholder, respected, senior, and careful, asks a question that should be easy. "Why did the team choose this approac...
A few weeks ago I wrote here about the eGFR race correction, the flawed formula that overestimated kidney function in Black patients for twenty years while clinicians trusted the n...
When someone self-professes as a victim, my suspicion alarms sometimes start too early, set to a cautionary low-drone.Continue reading on Medium »
Firms often mistake “this feels easier” for “this works better.”
From McKinsey to BCG, from the EU to ISO, and from vendors and consulting firms worldwide, everyone has their own version of the AI Readiness Assessment. A quick search will turn u...
Employers must design AI systems that recognize nontraditional job candidates’ experience and credentials, a SHRM26 speaker said.
Although artificial intelligence may be making some employees feel more confident, these tools are also causing a “connection deficit,” Workday said.
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