User Interface Design Ethics in AI – Part II

“One area Manhattan-based Greenhouse focused on is predicting the Recruiting Department’s results. Hiring and finance managers always want to know when the new person will be hired and whether they will show up.” - John Sumser
 

User Interface Design Ethics in AI – Part I

“The essence of traditional interfaces is a deep emphasis on clarity (or intuitiveness). One look at the interface tells you what to do. That doesn’t work with likelihoods. Intelligent output like you’d find in machine learning requires the user to think before deciding.” - John Sumser
 

HR Tech: AI and Intelligent Software Implementation – Part II

“From data quality to regulatory compliance, there are 28 key parameters to evaluate when considering a purchase of intelligent tools for HR. We’ve also provided 40 key questions to ask to evaluate an AI or Intelligent Software vendor solution.” - John Sumser
 

HR Tech: AI and Intelligent Software Implementation – Part I

“The question is when, not whether, organizations will use intelligent tools. The future is inevitable. The sooner you get started, the easier it will be to keep up. Conversely, the longer you wait, the more competitive advantage you will lose.” - John Sumser
 

We Don’t Know If We Can Eliminate Bias From Tech

“Bias related technical tools fall into two categories. The tech group assumes that things work better when humans are not involved. The human group assumes that people should be the decision-makers when lives and careers are affected.” – John Sumser
 

Software Implementation in HR with Intelligent Tools and AI

“The number of tools available in Talent Acquisition outnumbers other tools by almost 10 to 1. New intelligent tool initiatives are most likely to start in the Recruiting silo or as a part of a larger suite initiative.” - John Sumser
 

AI and Intelligent Software Implementation in HR – Part V

John Sumser completes his series on implementing intelligent software and AI in HR with 40 Key Questions for Evaluating your Prospective AI Vendor.
 

AI and Intelligent Software Implementation in HR – Part IV

“From data quality to regulatory compliance, there are 28 key parameters to evaluate when considering a purchase of intelligent tools for HR.” - John Sumser
 

AI and Intelligent Software Implementation in HR – Part III

In part III of this series, we’ll be looking at the role of data cleanliness, data models, and process governance. The tools and techniques required for the management of intelligent tools at scale are still in their infancy.
 

AI and Intelligent Software Implementation in HR – Part II

This is part II in a series that started last week. “The one thing to keep in mind with early experiments is that improving a single process with an intelligent machine is profoundly different from managing at scale.” - John Sumser