Explore the potential of artificial intelligence to benefit humanity in this thought-provoking lecture by Nick Jennings, Vice-Provost at Imperial College London. Delve into the scientific foundations of AI systems and their real-world applications, examining how humans and machines can collaborate to leverage their respective strengths. Investigate the architecture of AI systems, including recommendation algorithms, question analysis, and hypothesis generation. Learn about AI's practical deployment in disaster relief efforts in Nepal and its role in medical diagnostics for breast cancer. Consider the societal implications of widespread AI adoption, including its impact on job automation by 2030. Gain insights into the future of human-AI partnerships and their potential to address global challenges.
Overview
Syllabus
Intro
Al is not a New Field
Humans and Machines as Partners
Architecture of an Al System
Al and Recommendations
Question Analysis
Primary Search
Hypothesis Generation
Answer Scoring
Merging Candidate Answers and Scoring the Confidence
Deployment in Nepal
Machine Learning for Breast Cancer Diagnosis
Job Automatability by 2030
Taught by
The Royal Institution
