MT>3
  • Home
  • About
  • People
  • Services
    • e-Discovery
    • Managed Review
    • Information Governance
    • Due Diligence
  • Blog
  • News
  • Contact

Bias in AI is making headlines in Canada

10/2/2021

0 Comments

 
Our clients hear from us all the time that we are using AI and machine learning to help us with our data analysis work. The powerful analytics,  combined with lightning fast evaluations, make it an essential tool in our review toolkit.
 
Two recent articles highlight the challenges organizations can face when using AI. The first one, bias in medicine, highlights how using historical data to train an AI system can introduce unintentional racial bias into diagnosing medical conditions, while another article discusses how Department of National Defence failed to follow the government’s privacy impact regulations when employing third party AI technology, opening up the possibility that bias could be introduced into in their recruitment process.
 
Bias in AI/Machine learning is a real issue. In 2016, Microsoft technicians were developing a “conversational understanding” AI system that was designed to learn from chatting with people, and eventually be able to engage in conversations. In order to speed up training, the technicians decided to attach it to a Twitter account. People could tweet with the system, and the system would respond.  Unfortunately, within 24 hours, the system developed a very well defined misogynistic and racist personality. It proved, once again, that garbage in=garbage out.  There was nothing wrong with the underlying AI technology. The problem was with the data used to train the AI.
 
While AI / Machine Learning is powerful, organizations need to be aware of potential biases that can be introduced during the training/model development phase. These biases, if left unchecked, will dramatically affect the results.  In document review, biases and errors are expected, and a robust, independent validation of results needs to be included in all review projects.
 
At MT>3 we continually conduct quality control, testing, and validation of the Machine Learning and AI tools in order to verify the results. 

Susan Wortzman, Chuck Rothman, Michael Lalande

.

0 Comments



Leave a Reply.

    Categories

    All
    Artificial Intelligence
    Blockchain
    Cyber Security
    E Discovery
    Information Governance
    Legaltech
    Privacy
    Social Media
    Technology


    Archives

    February 2021
    November 2020
    October 2020
    July 2020
    June 2020
    April 2020
    March 2020
    February 2020
    January 2020
    November 2019
    October 2019
    September 2019
    June 2019
    May 2019
    April 2019
    March 2019
    February 2019
    January 2019
    May 2018
    April 2018
    March 2018
    September 2017
    August 2017
    February 2017
    January 2017
    December 2016
    November 2016
    October 2016
    September 2016
    August 2016
    July 2016
    June 2016
    May 2016
    April 2016
    March 2016
    February 2016
    January 2016
    December 2015
    November 2015
    October 2015
    September 2015
    August 2015
    July 2015
    June 2015
    May 2015
    April 2015
    March 2015
    February 2015
    January 2015
    December 2014
    November 2014
    October 2014
    September 2014
    August 2014
    July 2014
    June 2014
    May 2014
    April 2014
    March 2014
    February 2014
    January 2014
    December 2013
    November 2013
    October 2013
    September 2013
    August 2013
    July 2013
    June 2013
    May 2013
    April 2013
    March 2013
    February 2013
    January 2013
    December 2012
    November 2012
    October 2012
    September 2012
    August 2012
    July 2012
    June 2012
    April 2012
    March 2012
    February 2012
    January 2012
    December 2011
    November 2011
    October 2011
    September 2011
    August 2011
    June 2011
    April 2011
    March 2011
    February 2011
    January 2011
    December 2010
    November 2010
    October 2010
    September 2010
    August 2010
    July 2010
    June 2010
    May 2010
    March 2010
    February 2010
    January 2010
    October 2009
    September 2009
    August 2009
    December 2008
    March 2008
    November 2007
    October 2007

130 Adelaide Street West Suite 2020
Toronto, Ontario M5H 3P5
​ ​
t: 416-642-2220  
tf: 1-877-642-2220  
f: 416-868-0673
Contact MT>3
@MT>3 2018. All Rights Reserved
Picture

Privacy Policy and Terms of Use

  • Home
  • About
  • People
  • Services
    • e-Discovery
    • Managed Review
    • Information Governance
    • Due Diligence
  • Blog
  • News
  • Contact