AI Bias & Surveillance: Recognition, Analysis & Prediction

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This program is targeted to anyone interested in AI bias in detection & analysis systems & surveillance in public, private & other context

About this event

Prerequisites

This program is targeted to anyone interested in AI bias in detection and analysis systems (face, object, language, emotion) & surveillance in public, private and professional contexts.

No previous knowledge is needed as long as the participants are willing to appreciate the diversity of perspectives and think critically about power, harms, and risks.

Time: Weekly; 1st session on June 1st, 2021, 4 PM PST

Format: Online through Zoom

Program Workload: Number of Sessions: 6

Instruction per week: 1 hour

Required Tools: WIFI connection

Course Overview

  • The program is designed to start with fundamental concepts in AI ethics (bias, privacy, power, harms/risks) and human rights in the first week.
  • Week 2 & 3 move to specifics of how the recognition and analysis systems using face/objects, NLP, and affective computing manifest bias, and what the consequences are.
  • Weeks 4-6 discuss how data is collected & connected both online and offline, how the recognition and analysis systems are used in different settings, for which purposes, and what the consequences are.
  • Attendees will be provided with either short reports and/or videos for each class.  They can read and watch ahead of the class or after the class (in other words materials can be used as either pre/post work).
  • The live session will allow for discussion of concepts and cases.  

Why Take this course?

These systems are ubiquitously used across all domains of life (education, work, leisure) to access resources and opportunities. Program helps the participants understand these systems, and the consequences of what they develop, use and implement in their lives.

Learning Outcomes

  • Gain a conceptual understanding of how bias manifests itself in AI systems (Facial and object recognition and analysis; NLP – Natural Language Processing; Sentiment/Emotion analysis)
  • Observe ubiquitous surveillance and data collection mechanisms and their real-world applications
  • Understand the consequences of these bias & surveillance issues on the individual and social justice 
  • Apply these concepts to case studies.

Instructor

Merve Hickok is the founder of AIethicist. She is an independent consultant & trainer focused on capacity building in ethical and responsible AI and governance of AI systems.

Merve is currently an instructor on Data Ethics at the University of Michigan School of Information; senior researcher at Center for AI & Digital Policy; founding editorial board member of Springer Nature AI & Ethics journal; one of 100 Brilliant Women in AI Ethics 2021; Fellow at ForHumanity Center; a regional lead for Women in AI Ethics Collective; and a member in a number of IEEE & IEC work groups that set  global standards for autonomous systems.

Previously Merve has worked as a VP of HR in a number of different roles with Bank of America Merrill Lynch.

Refund Policy

The payment for the deep-dive programs can be fully refunded before the first session starts. Once the first session starts, the payment will be non-refundable.

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https://learn.grmds.org/

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Eventbrite's fee is nonrefundable.

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Organizer RMDS Lab

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RMDS is an ecosystem service provider that empowers data science professionals and businesses worldwide to achieve successful, data-driven results. Our community members have access to tools and resources that enhance their research and increase the success-rate of their work. Our proprietary web platform uses AI-powered recommendations to connect members to online learning, datasets and workflows, and peers within a collaborative environment. Our community extends offline with hands-on training, conferences, and community events. Experience the RMDS ecosystem.

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