Virtual Fall Summit Encore 2023-The Evolution of Artificial Intelligence (AI) (Nov. 15, 2023)

Video Transcription

Video Summary

AI systems are computer systems that can perform tasks that require human intelligence. They use algorithms and vast amounts of data to improve their performance over time. There are different types of AI systems, including rule-based systems, machine learning systems, and neural networks. AI systems have the potential to transform industries but also raise ethical and privacy concerns. The cost of implementing AI can vary depending on factors such as the complexity of the system, data collection and processing requirements, expertise needed, and additional resources. The speaker discussed the use of machine learning for predicting turnover risk and developing interventions for clinician burnout. They emphasized the importance of collecting data from multiple sources to have a comprehensive view of clinician well-being. They also discussed the need to calculate the return on investment for well-being programs and the challenges in measuring cost savings. Ethical considerations around bias, privacy, accountability, transparency, and stakeholder engagement were also highlighted.

Keywords

AI systems

computer systems

human intelligence

algorithms

data

performance improvement

rule-based systems

machine learning systems

neural networks

industry transformation

ethical concerns

privacy concerns

cost of implementing AI

data collection

processing requirements