The goal of AI should be to take human ingenuity and to attach a rocket to it, blending technology with ethics, accountability and inclusive design to empower as many people as possible. AI should benefit society, not dehumanize it. That’s why it can help to think with a “humans-first” approach. If it’s not adding value to humans, you have to ask yourself why the AI exists in the first place.
No one ever wants to come forward and talk about the issues we have with the current healthcare system — and how the future of healthcare will help to correct them. There’s a reason for that. Going on record to talk about it can put your job at risk, which is why many of the leading lights in the fight for the future are self-employed or working on the side of the technology giants. It’s a classic case of the elephant in the room, combined with the fear-based mentality of big businesses. They’re afraid of change.
It’s no coincidence that in both my book and in this article, I’ve started talking about data by using a quote from Sherlock Holmes. The world’s most famous consulting detective used the data he gathered in each of his investigations to arrive at a conclusion, and he was doing this as far back as 1887. We all create huge amounts of data on a daily basis, and yet none of this makes it into our health records. Today’s healthcare system, then, is much more Dr. Watson than Sherlock Holmes — and it’s a Dr. Watson who’s trying to theorize before he has data.
In my book The Future of Healthcare: Humans and Machines Partnering for Better Outcomes, I spent a lot of time talking about how AI, machine learning and other technologies can revolutionize the field of healthcare. I also talked about it in my last article on Medium.
In my book, The Future of Healthcare: Humans and Machines Partnering for Better Outcomes, I spent a lot of time talking about how AI, machine learning and other technologies can revolutionize the field of healthcare. What I didn’t tell you is that they can also revolutionize the field of competitive gaming. Google’s DeepMind has taught itself to play a number of Atari gamesincluding Atari Breakout, and YouTuber SethBling has created a cleverly-named program called MarI/O which uses “neural networks and genetic algorithms [to kick] butt at Super Mario World.”