Archives for HR Examiner - Page 12
The Emerging HR Data Department
A new era in HR management will evolve over the next two to five years. What we’re talking about here is the emergence of a new set of analytics-driven data-based…
Can Your Team Recover from Workplace Drama?
Heather Bussing asks, “Can a workplace recover from discrimination or harassment or whistleblower drama?” It seems that second chances are never evenly distributed and resentments have a long half-life. What…
Time and People and Technological Change
Technology changes all the time but people don’t change at the same rate as technology. It’s way easier to tweak an algorithm
Civility vs. Candor – It’s not an either/or Equation
“You cannot choose civility over candor. Civility is vital, but without candor it is useless
HRExaminer v10.93
AI Ethics: Machines Only Knowthe Information They Have HRExaminer for October 9, 2020 AI and Intelligent Software such as Machine Learning depend wholly on…
HR Tech Weekly: Episode #287: Stacey Harris and John Sumser
Hosts Stacey Harris and John Sumser discuss important news and topics in recruiting and HR technology. Listen live every Thursday or catch up on full episodes with transcriptions here
Meet Shepherd’s Result Triangle
“Until people and companies get clear on what they are afraid of, it’s impossible to make a really good decision. The Result Triangle is a great tool to change that
HRExaminer Radio – Executive Conversations: Episode #381: Henry Vasquez, Principal Product Manager and Ike Bennion, Principal Portfolio Marketing Manager at Cornerstone
HRx Radio – Executive Conversations: On Friday mornings, John Sumser interviews key executives from around the industry. The conversation covers what makes the executive tick and what makes their company…
How Do People Change Their Minds About Discrimination?
“How do people change their minds about discrimination? What inspires you to abandon what you believed before, then believe something different? What if the question is not what happened or…
AI Ethics: Machines Only Know the Information They Have
“The differences between human and machine views of a particular task are complementary. The machine can see patterns and rules with increasing accuracy