IEEE WiE East Tennessee is hosting a webinar Fortifying AI: Tackling Adversarial Threats and Building Defenses by Dr. Pravi Devineni is a Lead AI Scientist at Duke Energy. Abstract: AI systems now influence high-stakes decisions across sectors. Securing them requires a clear view of where vulnerabilities arise across the ML lifecycle. This session introduces common weaknesses from data collection and training through deployment and operations, and explains major adversarial threats—poisoning, evasion, inversion, and extraction, with real-world context. We’ll focus on practical detection and mitigation techniques and how these controls align with broader enterprise security practices. Attendees will leave with a simple framework and checklist to assess risk and prioritize safeguards. Learning objectives: - Map security risks across the AI lifecycle (data → training → validation → deployment → operations) - Explain key attack types—poisoning, evasion, inversion, extraction—and their impacts. - Apply defenses: data integrity and provenance checks, secure/robust training, evaluation and monitoring, incident response, red teaming, and governance controls. - Connect AI security work to enterprise security (threat modeling, identity, logging, SDLC). Bio: Dr. Pravallika (“Pravi”) Devineni is a Lead AI Scientist at Duke Energy. She designs secure-by-design, auditable AI systems for critical infrastructure, with a focus on grid reliability and nuclear operations. Her work spans adversarial ML Threat Modeling, evaluation and monitoring, and the practical application of NIST AI RMF and ISO/IEC 42001 to enterprise controls and evidence. Previously, she was a research scientist at Oak Ridge National Laboratory. She writes and speaks on AI risk and governance and mentors young scientists. She holds a Ph.D. in Computer Science from UC Riverside. Virtual: https://events.vtools.ieee.org/m/501800

The AI-Ready Mindset: How to Thrive, Not Just Survive Tired of headlines claiming AI is eliminating entry-level jobs? This IEEE Global career development event cuts through the media noise to provide practical insights for your success in the AI era. What You'll Learn Industry experts from multiple sectors will share their perspectives on emerging opportunities, helping you understand actual job market trends versus media hype. You'll learn to develop interview confidence by positioning yourself as an AI collaborator rather than competitor, and learn about skills that are becoming more valuable in the AI landscape. Expert Panel & Interactive Discussion The event features industry experts sharing their practical perspective on career opportunities in the AI era. Following expert presentations, we'll host a panel discussion where top questions submitted during registration will be addressed by our speakers. Who Should Attend? Students, Young Professionals, Professionals across all IEEE groups are welcome to participate, making this a valuable networking opportunity across our diverse engineering community. Registration is required and slots are limited. Don't let uncertainty hold back your career progress. Secure your spot today! Virtual: https://events.vtools.ieee.org/m/502378