Own work when the subject of algorithmic fairness for privacy is not frontpage news. Today we are going to speak to the two leading lights in area they will help us understand what the state of the art is that what the state of the art will be going forward. With that i think we will welcome professor Michael Kearns first to the stage. Is that right . Great. Michael and erin, welcome to the stage. [applause] ok, good morning. Thanks to everyone for coming. My name is Michael Kearns and with my close friend and colleague aaron roth we have coauthored a book, a general artist book called the ethical algorithm whose who subtitle e site of socially aware outcome design. We want to do for roughly half an hour so is just take you a high level to what some of the major themes of the book are and then well open it up as jeff said to q a. I think many, many people and certainly this audience is well aware that in the past decade or so wishing learning has gone from a relatively obscure corner o
Talk about their book the ethical algorithm. I think a day does not go by in the news or otherwise or in our own work when the subject of algorithmic fairness or privacy is not frontpage news. Today were going to speak to the two leading lights in that area and theyre going to help us understand whatthe stateoftheart is now and what the stateoftheart will be going forward. With that, i think we will welcome Michael Kearns first to the stage. Michael kearns andaaron roth, welcome to the stage. [applause] good morning, thanks to everyone for coming. My name is Michael Kearns and with my close friend and colleague erin roth we have coauthored a book, a general audience book called the ethical algorithm subtitle is the science of socially aware algorithm design. So we want to do for roughly half an hour or so is take you at a high level through what some of the major themes of the book are and then we will open it up as jeff said to q a. So i think many, many people and certainly this audi
Welcome. Welcome to the Keystone Strategy transformative ideas lectureseries. Were lucky today to be hosted with cspan2. A couple housekeeping notes. When we get to q a there are microphones so raise your hand and the microphone will come to you and then the questions will be captured. So today we are extremely lucky to have Michael Behrens and erin ross, both from the university of pennsylvania here to talk about their book the ethical algorithm. I think a day does not go by in the news or otherwise or in our own work when the subject of algorithmic fairness or privacy is not frontpage news. Today were going to the two leading lights in that area and theyre going to help us understand what the stateoftheart is now and what the stateoftheart will be going forward. With that i think we will welcome professor Michael Kearns first to the stage, is that right . Great. Michael and erin,welcome to the stage. Okay, good morning. Thanks to everyone for coming. My name is michaelkearns and with
Where the subject of algorithmic fairness or privacy is not frontpage news today we will speak to the two leading lights in that area they will help us understand the state of the art is now and Going Forward with that we will welcome professor kearns first to the stage. Welcome to the stage. [applause] good morning thank you for coming my name is Michael Kearns with my close friend and colleague writing a general audience book called the ethical algorithm so for roughly half an hour we want to take you had a high level to the major themes of the book then we will open to q a. So many people and certainly this audience is aware in the past decade Machine Learning has gone from relatively obscure to mainstream news to characterize the first half of this decade is the glory. When all reports were positive with all these amazing advances like deep learning and speech recognition image categorization in many other areas we all enjoy the great benefits of this technology and the advances ma
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