Merge pull request #59 from semanadeinformatica/develop

Add Pedro Saleiro's talk

src/data/events/talks/fairness-in-decision-making-with-ai.md

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+---
+title: Fairness in Decision-Making with AI
+
+speakers:
+  - name: Pedro Saleiro
+    occupations:
+      - what: Data Science Manager
+        where: Feedzai
+    bio: Pedro Saleiro is a Data Science Manager at Feedzai, leading FATE, a new research group working on Fairness, Accountability, Transparency and Ethics in AI. Previously, Pedro was working with Rayid Ghani as Postdoc at the University of Chicago, developing new methods and open source tools, such as the Aequitas toolkit to detect bias and discrimination in AI, and doing data science projects with government and nonprofit partners. Pedro holds a PhD in Informatics Engineering from FEUP.
+
+    img: ../../../images/speakers/pedro_saleiro.png
+    Linkedin: https://www.linkedin.com/in/saleiro/
+
+day: 2019-10-29
+start_time: 16h50
+end_time: 17h20
+place: B032
+type: Palestra
+
+path: /talks/fairness-in-decision-making-with-ai
+---
+
+While there has been a lot of buzz in the news and social media about algorithmic bias and fairness, the discussions are still very superficial and very little action has been taken to understand what happens across different domains in practice, and what tradeoffs and possible solutions should be used. In this talk, we are going to dive into this problem, from metrics and definitions to practical case studies in real policy problems where AI is being used to complement and even replace human expert decision-making.