'One way to think of AI is as a process of optimization — finding the course of action, in an uncertain world, that will result in the maximum expected utility"
This specifically reminds me of reinforcement learning.
"Now that we have a great set of algorithms and tools, the more pressing questions are human-centered: Exactly what do you want to optimize? Whose interests are you serving? Are you being fair to everyone? Is anyone being left out? Is the data you collected inclusive, or is it biased?"
This is like a meta-view of automation. When tasks were automated, people were able to do higher order thinking. For example, when people no longer had to do menial excel spreadsheets work, they were able to glean more meaningful insights from the data.
"The next challenge is to reach people who lack self-confidence, who don’t see themselves as capable of learning new things and being successful, who think of the tech world as being for others, not them"
This is the same insight Ajay Bangha (CEO of mastercard) made on giving financial access to the Next Billion Users.
This specifically reminds me of reinforcement learning.
"Now that we have a great set of algorithms and tools, the more pressing questions are human-centered: Exactly what do you want to optimize? Whose interests are you serving? Are you being fair to everyone? Is anyone being left out? Is the data you collected inclusive, or is it biased?"
This is like a meta-view of automation. When tasks were automated, people were able to do higher order thinking. For example, when people no longer had to do menial excel spreadsheets work, they were able to glean more meaningful insights from the data.
"The next challenge is to reach people who lack self-confidence, who don’t see themselves as capable of learning new things and being successful, who think of the tech world as being for others, not them"
This is the same insight Ajay Bangha (CEO of mastercard) made on giving financial access to the Next Billion Users.