Should Employers Monitor AI Prompts?

In this academic presentation, I explore the critical ethical, legal, and security tension between corporate risk management and employee workplace privacy in the age of generative AI. Drawing from established ethical codes (ACM Sections 1.1 and 1.6), industry security standards (OWASP GenAI LLM Top 10), and empirical organizational research (Cornell University’s Miao et al., 2024; APA Work in America Survey), this video breaks down why traditional surveillance backfires—and how automated technical safeguards can protect companies without eroding professional trust. References & Sources: American Psychological Association (APA). Work in America Survey: Artificial Intelligence, Monitoring, and Workplace Well-being. Miao, F., et al. (2024). The Impact of Algorithmic Surveillance on Workplace Autonomy and Performance. Cornell University Organizational Research Series. OWASP Foundation. OWASP Top 10 for Large Language Models Project Guidelines. Association for Computing Machinery (ACM). Code of Ethics and Professional Conduct (Sections 1.1 & 1.6). #AIEthics #WorkplacePrivacy #ArtificialIntelligence #CorporateSecurity #Cybersecurity #PromptMonitoring