This session is facilitated by Caitlin Kraft-Buchman, Beatriz Irarrazaval
About this session
First, we will present how the use of affirmative actions in the algorithms can help correcting real life bias and barriers resulting from the existing gender gaps, using concrete examples to explain the concept.
Then, we will do a quick mapping to identify gender gaps, amplified by technology, that attendees perceive in their jobs or daily life. After this, we will think collectively about algorithms that could decrease or eliminate this gap and propose to develop two prototypes in the upcoming year. This session will be done with the mentorship and support of the initiative Women at the Table, which is developing scholarship and guidelines on the issue.
Goals of this session
Generate a shared understanding of the impact, and the need, of using affirmative actions in the algorithms to eliminate existing gender gaps.