Social Impact Awareness
There’s a growing recognition of the societal implications tied to data used in machine learning, especially as tools like Lenza highlight biases in generated content. The conversation is shifting, with more emphasis on addressing these social issues at conferences. As the landscape evolves, the role of generative adversarial networks is also under scrutiny, with excitement for the changes anticipated in the coming year.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
641: Data Science Trends for 2023 — with Sadie St. Lawrence
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