Some Lessons for (Budding) Data Scientists from 4 Decades in AI w/Vishal Sikka
February 28 @ 12:30 pm - 2:00 pm
**Talks are recorded and posted to our YouTube channel at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA . Coffee is served at the in-person seminar at 101 Howard St.**
Thriving in Times of AI: Some Lessons for (Budding) Data Scientists from 4 decades in AI
In recent years, advances in AI have created the promise of pervasive transformation across all walks of life, from dramatically improving individual productivity and efficiency, to opening new frontiers for human progress and innovation. But there is also much hype, ambiguity, lack of understanding and asymmetry in AI. There are fundamental issues that have not been adequately addressed — opacity, bias, the lack of sufficient talent and expertise, to name a few. Humanity will not be able to realize the full potential of AI without system architectures that are reliable and transparent, and until structures are put in place for opportunities and benefits of this technology to be shared widely across society, in a way that amplifies our humanity. One key challenge is that these limitations are entrenched into the ways in which today’s organizations think and act. In addition to having a deep understanding of how things work, new and early-career data scientists will also need to be critical change-agents who help bring broader perspectives and knowledge to make a lasting impact.
In this talk, Dr. Vishal Sikka, a lifelong student, teacher, and practitioner of AI, will share his perspective objectively on the current state of AI, his thoughts on the road ahead, and share lessons from four decades of being involved in the frontlines of AI, that may be relevant to students as they embark on a career in data science.