Tag: AI

How AI Will Reconfigure Human Roles in 2020 and Beyond

Innovations like self-driving vehicles, intelligent virtual assistants, and healthcare robots have fueled both anxiety and optimism about jobs and automation. But actual adoption in recent years hasn’t been the stuff of science fiction: Automation was primarily focused on simple computational tasks (such as credit scoring) and analysis of structured data.

deepfake

Facebook Funds Research into Deepfakes to Boost Detection Capabilities

Technology is often at the cutting edge of training and development efforts, from two perspectives. First, training is key to help employees learn how to best understand and leverage new technologies in their industries. Second, new technologies can provide improvements in the efficiency and quality of training efforts.

Artificial Intelligence: Supporting Ethics and Removing Bias Not a Priority for Executives

We recently covered how artificial intelligence (AI) invites bias and what one developer is doing to stop it. The ethical issues AI raises, however, go far beyond bias-infused systems. A recent survey sought to understand the extent to which organizations that use AI systems take ethics of any kind into consideration. The results were less […]

Reducing Bias in AI Systems

Artificial intelligence (AI) tools have already entered the marketing space, and the HR space is no different. AI can sometimes be considered a bias-free tool. After all, computers deal with pure information. The problem is that these systems are loaded with human information, which is, of course, rife with often unintentional bias.

technology

5 Ways to Use AI for Recruiting

Believe it or not, with the ever-increasing need for human intelligence in human capital management in the modern-day workforce, artificial intelligence (AI) is becoming more and more necessary for HR departments and recruiters.

microlearning

Microlearning Trends for 2019

Microlearning has been on e-Learning and learning and development (L&D) trends lists consistently for the past few years—and for good reason. You can expect to see L&D professionals do even more with microlearning and microlearning technology this year, as detailed in this article.