The moral responsibility of AI builders (sponsored by Dataiku)
With the adoption of AI in the enterprise accelerating, its impacts—both positive and negative—are rapidly increasing. The builders of these new AI capabilities (data scientists, ML engineers, their managers, and company executives) all bear some moral responsibility for ensuring that their products create maximum benefit and minimal harm. Triveni Gandhi explores the collective and individual responsibility and focuses on pragmatic steps for responsible AI development.
This keynote is sponsored by Dataiku.
Triveni Gandhi is a data scientist at Dataiku, where she works with clients to deploy custom AI solutions and find meaning from complex data science pipelines. Her current work focuses on making responsible AI a part of the discourse and practices for enterprise data science. Triveni is also a cohost of the Banana Data Podcast, which highlights new developments and challenges in the world of AI. Previously, she served as a data analyst for a large education nonprofit in New York City, where she developed data pipelines and analyses to support the work of educators across the city. Triveni holds a PhD in political science from Cornell University.
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