Session: Identifying and Mitigating Bias in AI
From autonomous driving to immersive shopping, and from enhanced video collaboration to graphic design, AI is placing a wealth of possibilities at our fingertips. However, AI comes with vulnerabilities which can result in costly mishaps. In this talk, we will explore risks related to bias in AI models. We’ll examine the different types of biases that can arise in defining, training, evaluating, and deploying AI models, and illustrate them with examples. We will then introduce practical techniques and tools for detecting and mitigating bias, outlining their capabilities and limitations. We will also touch on fairness metrics that can be useful when developing models.
Bio
Nikita Tiwari is a Sr. Solutions Architect at NVIDIA, specializing in Enterprise AI software. She helps enterprises seamlessly deploy, manage, and scale AI workloads with enterprise-grade security, reliability, and support, simplifying AI adoption.
With over 11 years of industry experience in her prior roles at Intel, Nikita has worked extensively in the Client AI ecosystem, collaborating with OEMs to deliver impactful AI experiences for PCs, automotive image processing, and digital surveillance. A first-generation college graduate, she earned a Bachelor's in Electronics Engineering before obtaining a Master’s in Electrical and Computer Engineering from Portland State University.
Passionate about giving back, Nikita is actively involved in STEM advocacy and professional development. She serves on the boards of IEEE and the Society of Women Engineers (SWE) and contributes to IEEE’s AI Ethics and Bias standards groups, championing ethical considerations in technology.
Outside of work, she and her husband, Prashant, love spending time with their 4-year-old daughter, Aarya. As a family, they are always on the move and enjoy running and hiking together.