I've been following the AI debate closely, and there's a critical aspect that's often overlooked: the risks and harms of delaying AI implementation. Why are we more concerned with a single accident caused by an autonomous vehicle than the millions of accidents that could be prevented by reducing driving human error through AI? As a physician, I've witnessed the devastating impact of poor adherence to heart failure treatment guidelines. Why focus solely on potential errors in diagnostic and treatment related AI tools when millions of lives could be improved or saved by accelerating their use? The ethical considerations are indeed complex, and I don't have all the answers. However, it's imperative to discuss the profound harm caused by fear and bureaucracy in delaying AI deployment, especially when it has the potential to save lives and alleviate suffering on a massive scale. Let's push for a balanced perspective and a more profound conversation on this critical issue. #AI #Healthcare #Innovation #Ethics #FutureTech #SaveLives #ReduceSuffering
Agreed Ronny. As a cardiologist serving an underserved, low income community, these communities and our healthcare system need solutions now.
Operator/Advisor the interface of tech and life sciences
7moNarrower bands of risk too ie more predictable. Standard deviations in accuracy can be far tighter in AI rather than in human processes, which makes them more manageable even if accuracy is slightly lower. The risk scales are tipping and we will be ethically forced even if our professional roles are existentially threatened near term.