SIPAIM - SIIM 2021: Pre-conference Courses
Responsible AI: Fairness, Transparency, Bias, and Explainability
From everyday applications to complex algorithms, technology has the potential to hide, accelerate and even deepen discrimination, while appearing neutral and even benevolent when compared to the racist practices of an earlier era. In this talk, I present some implications of Artificial Intelligence, exploring some examples where it fails and/or causes a negative impact. We'll look at some of the open source tools available today to try to see if the data or models we create is discriminatory if it's biased, and how we can mitigate it.
Gabriela de Queiroz is a Chief Data Scientist at IBM California leading AI Strategy and Innovations. She drives the AI adoption across existing and potential customers, leads outreach strategy across our open source ecosystem and data science community. Previously she was a Program Director working on Open Source, Data & AI Technologies at IBM.
Saishruthi Swaminathan is an advocate for Trustworthy AI and an Advisory Data Scientist at IBM. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor's degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, she worked as a Software Developer. She is on a mission to spread the knowledge and experience she acquired in her learning process. She also leads an education for rural children initiative and speaks at events focussing on Trustworthy AI and Women's Empowerment.
Date: November 4 - 2 pm(Brazilian time)
The Good, The Bad, and The Awesome Scientific Video
Have you ever needed to record a video for a conference and struggled with camera, audio, framing or lighting? Have you ever tried to produce a screenplay and it sounded too academic? or tried to put together a few slides and the layout was horrible? Then you can not miss the course "The Good, The Bad, and The Awesome Scientific Video".
The course will be offered by: Estudio42 and Health Cursos
Date: November 5 - 2 pm(Brazilian time)
In order to attend the pre-conference courses it is necessary to be registered for the joint SIPAIM-SIIM conference. No additional fee will be charged for attending the courses.