Explores provably beneficial AI, aligning AI goals with human preferences and behaviors, illustrating complexities through examples like image classification and fetching coffee.
Explores the success of the Lauer model in advocating for liver flu infection and liver cancer on the national agenda through collaboration with policymakers.
Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Covers wildfire susceptibility mapping using ML-Al robotics and various related topics, including experimental protocols, DFT feature engineering, SimpedCLIP, and Covid-19 detection.
Explores the ethical implications of brain-computer interfaces and the societal challenges at the human-machine interface, emphasizing the importance of cognitive liberty and mental privacy.
Explores the promise and problems of implementing interventions for infectious diseases of poverty, emphasizing the need for better access and sustained treatment coverage.
