Posts Tagged: artificial intelligence

Engineering as activism: my journey from engineering to philosophy of AI

photo of Sina Fazelpour looking to camera in front of a pale brick wall and wearing a black jacket and shirtSina Fazelpour (MSc 1T0, BA 1T3)

How should we understand and model our world and design technologies that work effectively in it? What should we do to ensure that our diverse societies are just and inclusive? In this talk, I will discuss my personal journey from biomedical engineering to philosophy, a journey that was instigated by personal and social events, and driven by an interest in better understanding these two broad sets of questions. I will discuss how these two sets of questions come together when we think about our practices of modeling and technological design. Using examples from computational modeling, AI and digital technologies, I will explain why ethics and politics can be inextricably linked to the practice of engineering, and the responsibilities that this connection brings.

Read more about Sina Fazelpour here and submit a question to him before the conference.

Years 1 and 2 EngSci students:  T-cards will be scanned to take attendance.


AI, tech and social justice: Meet EngSci alumna and U of T Groundbreaker Deborah Raji


The interview with Deborah Raji begins at 4:44 min in this episode of Groundbreakers.

 

How can AI and related technologies avoid perpetuating racism and gender bias?

The latest episode of U of T’s Groundbreakers video series hosted by Ainka Jess features an interview with an EngSci alumna who has made foundational contributions to this question.

Deborah Raji (1T9), a member of U of T’s Black Research Network discusses how bias in AI algorithms can perpetuate racism and gender bias and erode civil rights.  The research she began as an undergraduate focuses on how we can avoid this trap and how access to technology can further inclusive excellence.

Learn more about Raji’s work here.

Groundbreakers is a multimedia series that includes articles at U of T News and features research leaders involved with U of T’s Institutional Strategic Initiatives, whose work will transform lives.

 

 

 


Holding companies accountable for biased AI – meet Year 4 student Deb Raji

thesis student

Deb Raji (Year 4 EngSci + PEY) and researchers at the MIT Media Lab identified a need for stronger evaluation practices to mitigate gender and racial biases of AI products. (Credit: Liz Do)

 

As artificial intelligence (AI) software becomes more widely used, questions have arisen about how social biases may inadvertently be amplified through it. One area of concern is facial detection and recognition software. Biases in the data sets used to ‘train’ AI software may lead to racial biases in the end products. Since these are sometimes used in law enforcement, this raises civil rights concerns.

Year 4 EngSci student Deb Raji (1T8 PEY) and collaborators at the Massachusetts Institute of Technology (MIT) recently won “best student paper” at the Artificial Intelligence, Ethics, and Society (AIES) Conference in Honolulu, Hawaii, for identifying performance disparities in commonly used facial detection software when used on groups of different genders and skin tones. Using Amazon’s Rekognition software, they found that darker-skinned women were misidentified as men in nearly one-third of cases.

Raji hopes that this work will show companies how to rigorously audit their algorithms to uncover hidden biases. “Deb Raji’s work highlights the critical need to place engineering work within a social context,” says Professor Deepa Kundur, Chair of the Division of Engineering Science. “We’re very proud of Deb’s achievements and look forward to her future contributions to the field.”

Read about Raji’s research here.


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