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 michael lewis


Making Choices With Data And AI

#artificialintelligence

This is a story about how something I learned on a routine plane journey changed my understanding of how we should use artificial intelligence (AI) in the workplace -- why we should use it to support human decision making. Humans need help to make good choices. We respond to context and to our own unconscious bias as much as to data. Presenting people with facts often isn't enough; they need something called "choice architecture" to help to nudge them toward the logical next step. Here is an example from my own experience of choice depending on context.


Supercharging Your Decision Making in 2017: Five Must-Reads for a World Full of Human Error and Algorithmic Thinking

#artificialintelligence

As we move into 2017 there is probably a long list of items that you are looking forward to tackling next year. In the past few months, we have witnessed some fascinating shifts in our national and global priorities and we are beginning to plan - as individual professionals, teams, leaders, organizations, and communities – how we will navigate the changing economic, social and political landscapes. Beyond the widely discussed political changes, there is also a host of technology trends and drivers that are working to redefine nearly every aspect of our lives. As we approach 2017, I wanted to share a few thought-provoking resources that I consider to be must-reads. Although there are many subjects worth exploring over the next few months, I wanted to highlight one area that is becoming exceedingly important.