Thanks for sharing your post on what I think is an important topic.
I like how you have clearly stated the problem and you make a great point about the complexity of engaging with EA, especially for mid-career professionals. I agree the HIP programme seems to be an effective way to navigate this space more smoothly, and I can sympathise with the challenges you’ve highlighted.
Building on your ideas regarding career stage-based filtering and personalised recommendations, making it easier for newcomers to find relevant pathways without cognitive overload, could there be an interactive “guided exploration” tool—perhaps an AI-driven assistant or decision-tree quiz—that helps users quickly assess their best starting point based on their background, interests and constraints? I wonder if anyone has experimented with similar tools before or are there existing resources that could be adapted for this?
Interestingly—the idea of building an AI-led solution was the starting point of this journey for me :-) I’m not pursuing it for a number of reasons (especially—it’s sub-optimal to add another organization in what I see as already a crowded ecosystem which is tough to navigate). However, for those interested in pursuing this—this article has a useful overview of current usage of AI-tools in supporting Career Counselling in colleges—Navigation & Guidance in the Age of AI: 5 Trends to Watch.
Also, at a broader level in Analytics modeling—this falls under the broad purview of matching-problems—which form the core of personalized recommendation engines in most platform-model businesses. I’m not tech-enough to detail this further—but can help interested folks connect with experts if they’d like to learn more.
Thanks for sharing your post on what I think is an important topic.
I like how you have clearly stated the problem and you make a great point about the complexity of engaging with EA, especially for mid-career professionals. I agree the HIP programme seems to be an effective way to navigate this space more smoothly, and I can sympathise with the challenges you’ve highlighted.
Building on your ideas regarding career stage-based filtering and personalised recommendations, making it easier for newcomers to find relevant pathways without cognitive overload, could there be an interactive “guided exploration” tool—perhaps an AI-driven assistant or decision-tree quiz—that helps users quickly assess their best starting point based on their background, interests and constraints? I wonder if anyone has experimented with similar tools before or are there existing resources that could be adapted for this?
Thanks for your response Karen.
Interestingly—the idea of building an AI-led solution was the starting point of this journey for me :-) I’m not pursuing it for a number of reasons (especially—it’s sub-optimal to add another organization in what I see as already a crowded ecosystem which is tough to navigate). However, for those interested in pursuing this—this article has a useful overview of current usage of AI-tools in supporting Career Counselling in colleges—Navigation & Guidance in the Age of AI: 5 Trends to Watch.
Also, at a broader level in Analytics modeling—this falls under the broad purview of matching-problems—which form the core of personalized recommendation engines in most platform-model businesses. I’m not tech-enough to detail this further—but can help interested folks connect with experts if they’d like to learn more.