Two years have passed since OpenAI launched ChatGPT into the wild.

It was hardly the beginning of AI - or even large language models - but it certainly marked the onset and amplification of long-winded AI chatter.

Where is Learning Collider in the AI chatter?

We’re right where we’re needed →  building, refining, and optimizing decision-making models with high potential for social impact and market success.

This work is hard and absolutely worth it. Why? Because decision-making AI is increasingly positioned as a gatekeeper to economic opportunities and upward mobility. 

The most common chatter we hear is whether or not this is an appropriate use case for AI. We’re more pragmatic. AI is and has been making decisions that affect people’s lives and livelihoods. 

AI is already…

influencing students’ educational pathways,

affecting or entirely determining families’ housing outcomes,

extending or restricting financial credit to borrowers, &

controlling many aspects of employment.

Organizations building or deploying these AI models often aim for socially impactful, equitable outcomes but they often lack the data science capabilities and scientific expertise to execute on these well-intentioned aims. Those capabilities and expertise are what we’re bringing to every project and partnership, now summarized in our online impact portfolio.

While iterating AI models with partners, we’re iterating on our organizational model and executing high-impact work to ensure decision-making AI advances economic opportunity and upward mobility, rather than hindering it.

Consider a tax-deductible donation that sustains our work and expands our impact. To donate, follow the link and select Learning Collider under Purpose of Donation.

With gratitude and pragmatism, 

Team Learning Collider