Emerging Technologies & AI Ethics: What Every Student and Manager Must Know- Prof. Paul Adejola скачать в хорошем качестве

Emerging Technologies & AI Ethics: What Every Student and Manager Must Know- Prof. Paul Adejola

In this lecture with MIS Students of Southeastern Louisiana University, USA, Prof. Paul Adejola explores the rapidly evolving world of emerging technologies and the ethical issues surrounding Artificial Intelligence (AI) in modern organizations. The session provides a practical and thought-provoking introduction to how digital innovations are transforming business, management, accounting, and human resource practices—while also raising critical ethical questions. The lecture begins by explaining what emerging technologies are and why they matter in today’s digital economy, highlighting key technologies such as Artificial Intelligence and Machine Learning, Big Data and Predictive Analytics, Internet of Things (IoT), Blockchain, Robotics and Process Automation, Cloud and Edge Computing, and Generative AI tools. Viewers gain insight into how these technologies drive innovation, efficiency, and smarter decision-making across enterprises. A strong focus is placed on Artificial Intelligence, examining how AI systems work and how they are applied in real business contexts—especially in recruitment, performance evaluation, and decision support. Through live demonstrations and simulated scenarios, the lecture shows how AI tools can analyze résumés, match candidates to job roles, optimize CVs for applicant tracking systems, and assist managerial decision-making. The session then critically addresses the ethical challenges of AI, including bias and discrimination, lack of transparency in algorithmic decisions, privacy and data protection concerns, accountability for AI-driven outcomes, job displacement, and the risks of manipulation through deepfakes and misinformation. A real-world case study of Amazon’s AI recruiting tool is used to illustrate how biased data can lead to discriminatory outcomes and why human oversight remains essential. To conclude, the lecture emphasizes the need to balance innovation with ethics, advocating for responsible AI practices, ethical audits, strong data governance, and AI literacy among future managers and professionals. Students and viewers are encouraged to embrace technology not only as innovators—but as leaders committed to integrity, fairness, and accountability in the digital age.