Human-centered leadership aims to put people first by prioritizing empathy, inclusiveness and employee development. While the approach has roots in the early 20th century, it is still just gaining a foothold in a world where top-down management remains dominant.

But now artificial intelligence is emerging as an effective tool for amplifying human-centered leadership. At the same time, human-centered approaches are proving to be the most effective way to encourage AI adoption that meets the goals of individual employees and the business as a whole.

In this episode, we explore how an emerging type of "supermanager" blends savvy use of AI with human-centered leadership, and why developing supermanagers is essential in helping employees adapt to the massive changes brought about by AI.

Featuring: Julia Bersin, Director of Research, The Josh Bersin Company

In today's episode, we'll also cover:

• Why redesigning work around AI requires input from employees who are comfortable experimenting with the technology.
• Tips on training employees to become "superworkers" by using AI more effectively.
• AI tools supermanagers use in their own supervisory tasks.

References:

• Career cure for AI phobia: Be a beekeeper, not a worker bee
• When building an AI strategy, don't forget the humans
• Bersin video: The rise of the supermanager

To learn more about enterprise applications, check out Search ERP.

Can non-technical workers really use supposedly user-friendly low-code/no-code development tools to write and customize software, especially AI applications, for serious business use?

Indeed they can -- if they're operating under the auspices of a well-planned citizen developer program that sets realistic expectations, establishes clear guardrails, and provides the right programming tools and training. It's also important to have an effective process for deciding which staff-written AI agents and apps should be productized or added to the organization's internal IT architecture.

In this episode, we explore how citizen developers can jumpstart an organization's AI deployment efforts, the essential elements of a program, who needs to be involved and the challenges to expect.

Featuring: Fabien Cros, Chief Data and AI Officer, Ducker Carlisle

In today's episode, we'll also cover:

• How Ducker Carlisle cut operating costs by 3%.
• Whether citizen developer programs change the relationship between the business and IT sides.
• How to decide when a citizen-developed app merits professional development.

References:

• What is citizen development?
• Citizen developers are redefining enterprise AI development
• StackAI low-code tool used by Ducker Carlisle

To learn more about enterprise applications, check out Search ERP.

Assessments are valuable hiring tools, but they can be challenging to design and implement. Recruiters and hiring managers use them to evaluate whether a candidate has the skills for a specific job, but also to identify cognitive capabilities and behavioral characteristics that are often better predictors of success.

Hiring assessments are mostly digitized and conducted over computers, but they tend to be reserved for high-volume recruiting for roles that can be encoded in a few reusable assessments. Now artificial intelligence is making assessments feasible for specialized job openings, including executive positions.

In this episode, we explore the role hiring assessments have traditionally played in recruiting, how AI makes assessments easier to develop and deploy, and why the soft science of industrial-organizational psychology (IO) provides a firmer foundation than resumes and interviews.

Featuring: Mike Hudy, Chief Science Officer, Hirevue

In today's episode, we'll also cover:

• How Hirevue's Assessment Builder software works.
• The steps taken to mitigate AI bias in the tool.
• Other ways digital technology is changing IO.

References:

• What is Hirevue?
• Learn about skills-based job descriptions, candidate testing
• Hirevue Assessment Builder

To learn more about enterprise applications, check out Search ERP.