IEEE WIE Phoenix presents: "Ethical Horizons in AI: Navigating the Landscape of Responsible Artificial Intelligence" by Nikita Tiwari, Intel

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Please join us for the following talk from Nikita Tiwari from Intel on Responsible AI.

Abstract: 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.



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  • Date: 02 Apr 2024
  • Time: 12:00 PM to 01:00 PM
  • All times are (UTC-07:00) Arizona
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  • Starts 19 March 2024 11:00 AM
  • Ends 02 April 2024 12:00 AM
  • All times are (UTC-07:00) Arizona
  • No Admission Charge


  Speakers

Nikita Tiwari of Intel

Topic:

Ethical Horizons in AI: Navigating the Landscape of Responsible Artificial Intelligence

Abstract: 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.

Biography:

Nikita Tiwari is an Artificial Intelligence (AI) enabling engineer for Client AI ecosystem in Intel. She's not just bringing compelling video-collaboration experiences to your PC; she's practically making connectivity possible wherever you go. Her diverse experience spans across silicon-processors, AI and automotive image processing unit (IPU). She has received a patent along with several internal and external publications. She obtained her Masters in ECE from Portland State University.

As a first-gen university graduate, she's not just mastering technology; she's also mastering the art of paying it forward. Nikita volunteers to pave the STEM way for the next generation and earned the 2020 SWE Distinguished New Engineer Award. She leads the Global Women at Intel Network board, SWE at Intel program along with her local and society SWE roles. Nikita is actively involved in IEEE, and is a Senior Member. Additionally, she contributes to the AI Ethics/Bias criteria review standards group, demonstrating her commitment to ethical considerations in technology. Nikita is a regular reviewer and presenter at various industry conferences, exhibiting her expertise in the field. Beyond her professional achievements, Nikita values family time. Her family of 3 enjoys activities like hiking and running, providing a refreshing balance to her dynamic professional life.

 

 

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