Last Week in AI Mini Episode: Pentagon AI, Deep Learning‘s Limits, Discharging Patients, and Robust AI
Jul 20, 2020
Dive into the fascinating world of AI's role in military operations and the ethical implications that arise. Discover the Pentagon's approach to integrating AI while considering the environmental costs involved. Explore the challenges and limitations of deep learning, particularly its impact on healthcare decision-making, including AI's involvement in patient discharge processes. Lastly, learn about the ongoing research aimed at enhancing the robustness of AI systems to ensure a reliable future.
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Pentagon's AI Center and Ethical Concerns
- The Pentagon's JAIC aims to use AI to enhance existing military processes and systems.
- This raises ethical concerns due to potential lethal applications.
Computational Limits of Deep Learning
- Deep learning models require vast computational resources, impacting their progress and sustainability.
- Researchers suggest exploring more efficient methods to overcome these limitations.
AI in Hospital Discharge Planning
- A Minnesota hospital system uses AI to aid discharge planning, but patients are unaware.
- This raises ethical questions regarding transparency and patient autonomy in healthcare decisions.