My AI: Awareness in Evolving AI Technologies

Abstract: 

AI permeates and has transformed daily routines – whether it's interacting with virtual assistants, personalized recommendations for user preferences, or smart home devices. As technology grows, so does the need to educate professionals outside of the traditional technical fields. Building an AI-literate community means developing people to ask the right questions– How do I approach or communicate about AI? What are the strengths and limitations of AI? How is the public impacted by AI implementations? What tools are needed to evaluate AI?

Similar to data literacy, AI literacy requires the appropriate mindset, language, and skills to develop a framework that can assess data outputs. Beyond the technical challenges, recommended regulations, such as Executive Order 14110, and program stakeholders impose increasing demand and requirements for AI explainability, fairness/equity, and formal governance, while also introducing confusion around what this actually means for people. Fundamental to this approach is a governance framework combining people, processes, tools, and automation to ensure performance & trust in AI solutions, minimize risks, and maximize impacts.

Join Leidos Chief AI Architect Roopa Vasan to discuss the implications and importance of having an AI-literate community that questions data responsibly and aligns with AI governance. By the end of the presentation, you will walk away with a comprehensive understanding of today's regulations, key frameworks for AI literacy and governance , and first steps to implement them.

Bio: 

Ms. Roopa Vasan serves as the Chief Architect in the Leidos AI Accelerator and has 20 years of industry experiencing applying AI. Her technical roles range from design to test of AI for both emerging research and quick-react mission needs, regularly testing AI-enabled solutions in the field. She led Leidos’ Trusted AI initiatives through developing the Framework for AI Resiliency and Security (FAIRS) to detect and mitigate AI risks and vulnerabilities and enable robust AI implementations into operations. Her contributions to FAIRS include model monitoring, explainable and fairness in AI capabilities. She has served on panels and interviews in related topics - Ethical AI, Responsible AI, and emerging AI trends.

Open Data Science

 

 

 

Open Data Science
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Cambridge, MA 02142
info@odsc.com

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