Session: Fostering Ethical AI: Navigating the Landscape of Responsible Artificial Intelligence
AI is currently experiencing significant popularity, marking the dawn of a new era. From autonomous driving to immersive shopping, and from enhanced video collaboration in today's hybrid world to generative AI, technology is placing a wealth of possibilities at our fingertips. Nevertheless, the utilization of AI comes with numerous vulnerabilities, resulting in substantial costs from AI accidents. These incidents range from reinforcing historical biases to making decisions that elude our interpretation. With the proliferation of AI-based solutions, understanding the rationale behind these black-box models becomes imperative. We will delve into real-world scenarios illustrating the risks of deploying AI in diverse environments. Explore how these risks can be mitigated through a range of techniques across the model development and deployment process and discern the best practices for bringing AI products to market.
Bio
Nikita Tiwari is an AI enabling engineer for OEM PC ecosystem in Intel’s Client Computing group bringing the most compelling video-collaboration experiences to the personal computer, hence making connectivity possible anywhere you go. Her diverse experience spans across silicon-processor debug, validation, artificial intelligence (AI) and automotive image processing unit (IPU). She has received a patent for her work in AI along with several publications. She obtained her Masters in ECE from Portland State University.
Being a first-generation university graduate, Nikita strives to pay it forward through volunteerism with her greatest hope to be a role model for the next generation to pursue STEM and was recognized with the 2020 SWE Distinguished New Engineer Award. She is also an IEEE Senior member and part of the Ethics/Bias criteria review standards group. Her family of 3 enjoys hiking and running.