Build AI


The Transparency Problem with AI - Part 2

Transparency in data privacy involves openness; being willing to share with users all aspects of usages of their personal data. This includes an openness on what is being collected, why it is being collected, how it is being analyzed, and how the decisions being made by AI algorithms were decided (what output parameters drove the decisions made by the AI algorithms).

February 3, 2021

The Transparency Problem with AI

The use of Artificial intelligence (AI) in important decision-making areas continues to grow and includes such important decisions as: loan-worthiness, emergency response, medical diagnosis, job candidate selection, parole determination, criminal punishment, and educator performance. But, a critical question keeps coming up in these areas, how are the decisions being made?

February 3, 2021

Insights from the 2015 Talent Board Candidate Experience Research Report

The 2015 Talent Board Candidates Research Report does a great job highlighting areas for innovation moving forward. It all starts with employers actually listening to job seekers and getting on the same page.

February 3, 2021

Finding Social Media’s Place in Recruiting Strategy

We had the privilege of being the topic of conversation in a new post from William Frierson at College Recruiter.

February 3, 2021

2016 HR Market Outlook

Here are my top questions looking forward to 2016.

February 3, 2021

Launch Day

It has been an exciting journey and we are very thankful to our existing beta users and advisors in helping us to deliver a solution that we’re really proud of.

February 3, 2021