As artificial intelligence (AI) takes over more and more aspects of our work and personal lives, how does it impact the way we and others–especially those from marginalized backgrounds–are treated? With the rise of large language models (LLMs) trained on highly biased datasets and those writing algorithms lacking the lived experience and formal education to understand how and to what extent their creations are introducing, perpetuating, and exacerbating social and institutional biases, we are at a crossroads. Join The Mathpath, Aubrey Blanche-Sarellano, for a deep dive into what the potential future of a machine-enabled world can look like, and walk away with practical ideas about how we can ensure that leaning into technology can create a fairer, more equitable future.
Everyone and their cousin is talking about AI, LLMs, and ChatGPT…what’s a People & Culture leader to do? The push to leverage AI in every area imaginable is often putting huge strain on often-resource-strapped HR teams, for whom this may be a new frontier. But there are still huge questions when it comes to applying AI to people problems, and many in the space aren’t yet confident in how to understand, evaluate, select, and deploy these tools in a way that enables positive culture and avoids the many potential bias pitfalls that can arise when relying on computers in this space. Join The Mathpath, Aubrey Blanche-Sarellano, for a discussion of the key factors and questions to consider when applying machine learning technologies to your culture.
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