Can understanding someone's digital footprint really make it easier for it to predict what they'll be doing using AI? Today's guest is Daniel Hulme. Daniel has a PhD in Computational Complexity and works in the field of AI, applied technology, and ethics. He is the CEO and founder of Satalia, a Tedx speaker, and educator at Singularity University.

Show Notes:

• [0:50] - Daniel has already been interested in how humans behave and describes how he got into AI.
• [2:05] - AI gets grouped into technology but there are a lot of different types of AI.
• [3:50] - The ultimate goal of AI is to have computers make decisions and learn from the decisions, but that's not commonplace right now.
• [5:31] - Someone's digital footprint can be used to learn a lot about them.
• [6:51] - The challenges that we are facing with AI are not ethical challenges, they are safety issues.
• [8:29] - AI is super complex and is becoming more difficult to test.
• [10:03] - AI's learning isn't usually the problem. It's the framework put in place.
• [11:36] - Machine learning is a generalization of the world which can create biases.
• [14:26] - Building explainable systems is incredibly important.
• [16:20] - Daniel gives an example of how AI can use data but why human decisions are still important.
• [18:16] - It's much more cost effective to have simple solutions than complex ones.
• [20:35] - What is the effect of building a super intelligence? We don't know. Daniel explains the singularities involved.
• [21:45] - These technologies are replacing people in completing some tasks. This is arguably a good or bad thing, depending on how you think about it.
• [23:47] - There are different safeguards against each of these singularities.
• [24:56] - Daniel shares what he thinks will be the solution.
• [28:07] - Who is going to make this "glorious future"?
• [29:36] - As AI takes the roles of employees in some companies, Daniel believes it will balance out again.
• [32:01] - There are jobs that may be impacted more than others.
• [33:46] - Something else that Daniel thinks may happen is a new economic structure.
• [35:12] - The highest cost for many organizations is human labor.
• [36:42] - There's a possible paradigm shift that will have to change the way we think about work and money.
• [39:30] - Daniel is optimistic that we're headed in the right direction.

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