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WEBINAR: Using AI Responsibly - a Conversation on AI & Ethics, Privacy, and Bias
Wednesday, May 08, 2024, 11:00 AM - 12:00 PM PDT
Category: Webinars

AI in Advancement Services: a four-part series

Part 3: Using AI Responsibly – a Conversation on AI & Ethics, Privacy, and Bias

In the third of our four-part series, we’ll dive into a salient conversation on what it means to use AI responsibly, ethically, and understand the issues around bias and privacy. Our panel will address the following questions (and provide insights on):

1. How can AI be biased and what can be done to mitigate it?

2. Where does Data Privacy fit in with AI?

3. How do we foster a culture of using AI ethically?

Learning Objectives

Understanding how to use AI responsibly and ethically, knowing how bias can occur and can be mitigated, and seeing where data privacy fits into our AI use cases.


 

Moderator: Robyn Doughty, Senior Director, Data and Business Solutions, University of California, Berkeley

With over 20 years of experience in public higher education, Robyn possesses a deep understanding of the issues and challenges unique to the field. The past 19 years she has focused her career in Advancement Operations, making her well-versed in the business needs of university stakeholders and the data, systems, and processes that are critical to a successful fundraising enterprise. This knowledge translates to breaking down silos between teams, extensive campus outreach to obtain, integrate, and steward data, and implementation of process and system improvements in all areas of the organization.

Speakers

Meena Das, CEO, Namaste Data

Meena Das (she/her) is the CEO, consultant, and facilitator of two practices - NamasteData and Data Is For Everyone. Namaste Data focuses on advancing data equity for nonprofits and social impact agencies, while Data Is For Everyone provides tools and resources to help people learn how to navigate the world of data. Meena is a specialist in designing and teaching equitable research tools and analyzing engagement. She supports nonprofits in three critical areas: data collection assessments, community surveys, and staff workshops on topics like improving data equity and human-centric algorithms. You can learn more about her work through her two newsletters, ‘Dear Human’ and ‘Data Uncollected’, or directly connect with her on LinkedIn:http://www.linkedin.com/in/meenadas.

 Stefan Bryrd-Kruegers, Chief Analytics Officer, ParsonsTKO

 Stefan Byrd-Krueger is a data evangelist and the head of the data strategy practice at ParsonsTKO, where he applies his expertise across the company’s broad scope of services, including digital transformation, fundraising, strategic planning, and change management for the non-profit sector. His journey, starting in the arts as a sculptural welder and in federal policy analysis, has evolved to emphasize a holistic approach to organizational relationships with diverse audiences. At the heart of his work lies a commitment to integrating data-enabled decision-making in nonprofits, fostering environments where data analytics not only informs strategy but also enhances operational efficiency and staff empowerment. More recently, his advocacy for the responsible and practical use of AI is a testament to his commitment to transformative change in mission-driven organizations.

Dr. Rodger DevineAVP Advancement OperationsPomona College

Dr. Devine brings over 20 years of experience in enterprise information technology, business intelligence, organizational development, and cross-functional leadership. Rodger completed his graduate studies in information science at the University of Michigan School of Information, where he was a member of the Michigan Data Sciences team and co-founder of the Student Organization for Data Analytics. Rodger completed his doctoral research in Organizational Change and Leadership at the USC Rossier School of Education with a focus on technological change, workforce development, and organizational learning. Rodger co-authored Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R (2020) and Data Science for Fundraising: Build Data-Driven Solutions Using R (2018). Rodger presents at conferences, chairs symposia, designs workshops, and volunteers in various leadership roles and mentorship capacities with non-profit organizations such as the ApraAASP, and CASE, among others. Rodger looks forward to connecting with other lifelong learners and building diverse and inclusive communities of professional development, expertise, and knowledge sharing across higher education and beyond.

Registration

Members: Free | Non-Members: $129

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