AI’s balance of power
Dina Katabi, principal investigator for AI and health at the MIT Abdul Latif Jameel Clinic for Machine Leaning in Health (MIT Jameel Clinic) advocates for greater adoption of AI-assisted medical technology for population-level data generation of dynamic diseases. Her work has resulted in the development of wireless radio wave-transmitting devices that can detect subtle changes in patients' health indicators and inform disease onset and progression.
Dina considers public concern around the ethics of AI, algorithmic bias and data generation, but insists that it is up to humans to develop and train the technology correctly to avoid harmful societal outcomes, explaining, “Every machine operates properly under certain conditions and then creates bad, unreliable answers under other conditions,” she says. “AI is nothing special in that sense. If you take a freezer and keep the door open, everything is going to melt.”