How AI Will Transform Our Culture and Society

Speaker:  Andrew Glassner – Seattle, WA, United States
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


Will you get a promotion or raise at your job? Will you be accepted into the university you're hoping for? Can you have surgery for a medical problem?  Will you get that loan you need to fix up your home? If you get into legal trouble, even accidentally, will you go to jail? your interactions with social media, digital assistants, and "smart speakers" be saved, analyzed, and later used to manipulate you, your family, and your friends?

Questions like these are increasingly being answered by a new class of learning algorithms. These algorithms are used by companies, governments, schools, hospitals, banks, colleges, courthouses, and other organizations that routinely make decisions that directly affect our lives. These algorithms are attractive because they are fast and efficient, and because they are based on a wealth of data, they are often presumed to be fair.  

In fact, it has become clear that these algorithms are routinely and inherently unfair, and perpetuate human bias and other injustices at an unprecedented scale.  They are also completely unaware of the impact of their decisions on society and individuals. While emphasizing speed and a skewed perception of accuracy, these algorithms blindly sacrifice principles like fairness, truth, beauty, respect, human potential, and promoting fulfilling, harmonious societies.

As a researcher in this field, I come into daily contact with the ways that learning algorithms are already eroding our culture and society. I believe it is important for us all to see these effects, so we can take action to contain these algorithms, and avoid further harm. If we acknowledge the problem and strive to address it with care and foresight, we can produce better tools and legal systems that respect and benefit all citizens. We'll look at these issues, and sound a call for using this technology in kind and generous ways.

About this Lecture

Number of Slides:  110
Duration:  45 - 60 minutes
Languages Available:  English
Last Updated: 

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