AI as a Mirror: Reflecting Humanity and Shaping Our Future

LINK TO ZOOM MEETING:
https://us06web.zoom.us/j/88384219320?pwd=dlR1WHpBM1JJT2ZXdmE5dSthRWp1UT09

Abstract:
"Artificial intelligence mirrors the complexities of humanity—our creativity and intelligence, but also our shadow full of biases. As we stand at the crossroads of its development, we face a choice: allow AI to magnify our flaws or guide it to elevate human potential. This talk explores how AI can become a profound force for growth, forging a future that empowers humanity to thrive."
-- Prof. Maya Ackerman, PhD.
CEO & Co-Founder of WaveAI

Program Description:
In this program, Professor Maya Ackerman will discuss the AI topic of the above abstract LIVE over Zoom. In the following discussion, you can talk with Dr. Ackerman and learn more about her work in Generative AI, and ask her your AI questions.

Dr. Ackerman:
Professor Maya Ackerman is a leading researcher on Artificial Intelligence and Machine learning, a trailblazer in generative AI, and the CEO/co-founder of WaveAI. Since 2014, she has pioneered human-centered generative AI, advocating for its ability to enhance human creativity. With over 50 peer-reviewed publications that have been cited over 1500 times, her research spans text, music, and art.

Dr. Ackerman specializes in creating scalable, user-centered systems that elevate generative AI from a fleeting novelty to an indispensable tool. She holds a PhD from the University of Waterloo and is a professor at Santa Clara University on the faculty of the Computer Engineering Department. She held postdoctoral fellowships at Caltech and UC San Diego, and is an Associate Editor of the Journal of Computational Creativity. She was also an Associate Professor at Florida State University.

Recognized as a “Woman of Influence” by the Silicon Valley Business Journal, her expertise is featured on NBC News, New Scientist, NPR, and more. A frequent invited and keynote speaker, she appeared on renowned stages like the United Nations, IBM Research, Google and Stanford.

FURTHER ZOOM LOGIN INFO:
LINK: https://us06web.zoom.us/j/88384219320?pwd=dlR1WHpBM1JJT2ZXdmE5dSthRWp1UT09
DIAL-IN PHONE NUMBER: 305-224-1968
MEETING ID: 883 8421 9320
PASSCODE: 765292