“AI is quickly becoming a table-stakes commodity. Since it will often be unlabeled, the question will be, ‘How do we recognize it?’ This is not the discovery of a rarity, it’s remembering to be effective in the flow of recommendations, suggestions, forecasts, probabilities, and interpretations that fill our every transaction. Recognizing AI means trying to remember, in the onslaught of machine opinion, that by accepting the machine’s opinion you are making a decision.” - John Sumser
After you have evaluated and implemented all of the COVID-19 health and safety protections, there are five things you should do to prepare for your employees’ return.
“The shock of so much death has been profound. Most organizations are not prepared for a workforce with PTSD. There is no way for your EAP to handle what’s happening. Grief is rarely talked about openly, and almost never in the workplace. That’s all changed.” - John Sumser
This current public health crisis will likely result in a complete inversion of who is really important at your company. Instead of paying attention to the people with charisma and connections, we need to focus on people with competence.
In times of scarcity or crisis like the pandemic, the rules change. Business continuity becomes the governing question. Michael Kannisto, Ph.D. looks at MVP’s during the Pandemic: Modern Succession Planning for Operational Continuity.
In March 2020, many workers fled their offices for the safety of home. The change was hurried by necessity, but with little understanding of the consequences. Stella Lupushor has more on Zoom and a bit about the downsides of decentralized work.
Fara Rives discusses how AI can help overcome a key roadblock with outdated employee and contractor information. AI Can Improve Talent Mobility.
It’s one of the most common workplace mistakes: applying the wrong solution to a situation simply because you went with your “go to”move. Hello Hammer, Meet Nail from Dr. Todd Dewett.
In March 2020, many workers fled their offices for the safety of home. The change was hurried by necessity, but with little understanding of the consequences. Stella Lupushor has more on Zoom and a bit about the downsides of decentralized work.
Fara Rives discusses how AI can help overcome a key roadblock with outdated employee and contractor information. AI Can Improve Talent Mobility.
It’s one of the most common workplace mistakes: applying the wrong solution to a situation simply because you went with your “go to”move. Hello Hammer, Meet Nail from Dr. Todd Dewett.
Heather Bussing writes, “If there is only a 10% chance of rain, you probably won’t take an umbrella. But one in ten times, you will still get wet.” Read Heather’s two-part series on How to Not Screw Up Predictions (when you’re working with AI and Intelligent Tools).
In part two of her series, Heather Bussing shares an exercise and analysis on How to Not Screw Up Predictions (Exercise: Consider and Decide).
John Sumser writes, “The work of synthesizing, prioritizing, and then acting on the data is increasingly what work is all about. And that’s where the new tools come in handiest.” Modern HR Data Types and Attributes (From Text to Machine Generated or Monitored Data).
“Ethical questions about how we use data and technology in organizations are growing in prominence and importance and bias is the noisiest of the ethics questions now facing HR.” John Sumser has more in, Bias in AI: Are People the Problem or the Solution?
In this combined article and podcast the topic is Open Feedback and Joyous Co-founder Mike Carden is in the driver’s seat. Open Feedback with Mike Carden (article and Podcast).
In part two of her series, Heather Bussing shares an exercise and analysis on How to Not Screw Up Predictions (Exercise: Consider and Decide).
John Sumser writes, “The work of synthesizing, prioritizing, and then acting on the data is increasingly what work is all about. And that’s where the new tools come in handiest.” Modern HR Data Types and Attributes (From Text to Machine Generated or Monitored Data).
“Ethical questions about how we use data and technology in organizations are growing in prominence and importance and bias is the noisiest of the ethics questions now facing HR.” John Sumser has more in, Bias in AI: Are People the Problem or the Solution?
In this combined article and podcast the topic is Open Feedback and Joyous Co-founder Mike Carden is in the driver’s seat. Open Feedback with Mike Carden (article and Podcast).
“All tools contain embedded biases. Bias can be introduced long before the data is examined and at other parts of the process. Meanwhile, one group says people are the problem; the other sees them as the solution.” - John Sumser
“Data has a funny property. It wants to make more data. There’s a saying, ‘data makes its own gravy.’ Using data creates data about usage. Interestingly, the metadata created by data is often more useful than the data itself.” - John Sumser
Novel technological solutions are emerging to address the pandemic in the workforce. This week, John Sumser highlights those trends in the first two pieces in the Pandemic Workforce Series: New Safety, Health, and Development Technology and Who’s Doing Amazing Stuff (The Watchlist).
Plus, John Sumser examines the results of a study of 542 HR executives and subject matter experts to learn What intelligent tools organizations are using and what their growth potential is.
Don’t miss two more great pieces on risks and what’s missing from Organizational Health, Safety, and Development during the COVID-19 Crisis.
Plus, John Sumser examines the results of a study of 542 HR executives and subject matter experts to learn What intelligent tools organizations are using and what their growth potential is.
Don’t miss two more great pieces on risks and what’s missing from Organizational Health, Safety, and Development during the COVID-19 Crisis.
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