Positioning A.I. For Social Good
We’ve heard the stories that we should fear A.I, and that it’s going to take away all of our jobs, but what does a future with A.I. truly look like? In this episode we were joined by Neil Sahota, IBM Master Inventor, UnitedNations A.I. Subject Matter Expert, and Author of Own the A.I. Revolution.
We dove deep into the future of A.I., and what we really need to be concerned about as this data starts to make important decisions. We also talked about the limitations of those decisions, and what we need to consider as this technology advances, and we talked about Emerging Technology and education through a standard university model. Is that really the right path to take for those who want to take on a career in these fields?
Here is the official episode breakdown:
5:10 - We jump into Neil’s experience speaking in front of the UN along with hanging with Mike Tyson on his podcast to discuss which one was a scarier experience, and the misconceptions that the UN had about A.I. and what our future looked like.
6:24 - When it comes to working with these worldwide leaders, what level of education are they requiring to understand what the future looks like?
9:04 - People are fearful of A.I., and is that fear justified?
10:36 - We dive deeper into the applications of A.I. How exactly can we allow A.I. to make more in-depth decisions that would require a massive effort in coding?
13:58 - What’s the demand for data science as A.I. becomes better at making its own decision? Will data scientists eventually go away? Or will their roles become more important as A.I. advances?
16:28 - As we implement larger scale efforts to analyze data, are there other initiatives to actually baseline the data?
18:08 - As a society that tends to be on the lazier side, how do we take initiative as a human race to work smarter than the robots?
23:40 - Teaching A.I. to grad students and applying it in the legal field and on the business side, including the future of work, how will that impact business moving forward?
24:02 - What is the definition of the future of work? What are jobs of the future going to be, and what are the skills that will be required to fulfill those jobs?
26:38 - How will the role of standard jobs change if A.I. is taking away some of the time that it takes the newbies to catch up to speed, almost like the grunt work (i.e. researchers in a law firm)?
28:30 - Is the curriculum for these Emerging Technology Courses advancing fast enough to align with the speed of change of the actual technology.
31:06 - Do we even need the training for these Emerging Technologies to happen in the standard university level?
36:15 - Is A.I. so advanced that they actually were able to get it to write Shakespeare?
38:23 - When it comes to A.I. and Social Media, is A.I. advanced enough to predict when posts may even go viral? How can companies use this data for the future?
40:25 - How do we protect ourselves from things like deep-fake when it comes to helping to make important decisions, for example voting?
46:03 - We go back to the UN to discuss the new initiative that they have to help use A.I. for good.
Want to learn more about Neil
Twitter - https://twitter.com/neil_sahota
LinkedIn - https://www.linkedin.com/in/neilsahota/