What concrete steps is your organization taking to broaden access to AI skills training for your staff? How are you making sure your training programs are equitable?

2k viewscircle icon4 Upvotescircle icon4 Comments
Sort by:
Director of Marketing12 hours ago

Live workshops to create agents and automate existing marketing workflows
Use cases of type of new content and marketing processes to be enhanced via AI  

VP of Engineeringa month ago

Concrete steps organizations can take to broaden access to AI skills training and ensure equity include:

Offer Flexible Learning Options: Provide a mix of online, in-person, self-paced, and live sessions to accommodate different learning styles and schedules.

Remove Barriers to Entry: Make training free or low-cost and provide necessary resources like devices or internet access to those who need them.

Create Inclusive Content: Design materials that reflect diverse backgrounds, use clear language, and avoid jargon to make AI concepts accessible to all skill levels.

Target Underrepresented Groups: Actively encourage participation from women, minorities, and other underrepresented groups through outreach, mentorship, and support programs.

Lightbulb on1
VP of ITa month ago

There are various platforms and resources available to train staff, the programs are great as well in terms of content. The major aspect lies on staff / employees to make use of it effectively.

Lightbulb on1
Director of Engineeringa month ago

First, you have to thoroughly understand the space and its changing landscape itself. Secondly, you have to work with either your vendors to understand how they are evolving their platforms or work with an academic partner if a more fundamental understand is needed.

As far as making programs more equitable, broad training access to things like LinkedIn Learning and Udemy allows employees of all backgrounds to find a program suitable for them and their level of knowledge, experience, etc.

Content you might like

Established AI governance framework with defined policies and oversight40%

Currently developing governance models and risk controls68%

Relying on existing security/compliance frameworks (no AI-specific policy)34%

No formal AI governance approach in place2%

View Results

Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%

Recruit less experienced AI talent with a high aptitude to learn 47%

Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 40%

Build talent pipelines through partnerships with academia and professional societies33%

Hire and upskill internal talent40%

Use specialized AI recruitment agencies7%

Other (please share details in comments)

View Results