AI-IND 3 - Pecha Kucha AI Sessions: Monitoring, Benchmarking, Data Privacy and Ethics

Ethics play a pivotal role in guiding the ethical trajectory of AI, impacting its development, deployment, and societal repercussions significantly. These guiding principles serve as a deterrent against biases, privacy infringements, and potential societal harm. Equally crucial in the AI landscape is the aspect of data privacy, serving as a cornerstone for safeguarding personal information. Upholding stringent privacy standards not only prevents misuse but also cultivates trust among users, fostering an environment conducive to innovation while honoring individuals' privacy rights. Furthermore, benchmarking in AI stands as a fundamental pillar, establishing performance standards, facilitating innovation, allowing comparison among different AI models, and propelling the evolution of system development. Concurrently, monitoring AI systems is indispensable, ensuring continual performance adherence to ethical standards. Vigilant oversight not only detects biases but also facilitates timely adjustments, aligning AI practices with the evolving ethical landscape to maintain trust and reliability.