According to Forbes, Artificial Intelligence (AI) will continue to dominate the tech trends in 2022 and beyond. Among its many far reaching impacts, AI is enabling more inclusive and diverse workplaces by mitigating biases.
Join Ascend as we present this timely program to kick off the Lunar New Year and spotlight the unique opportunities of AI technology and discuss the potential challenges posed by AI in a drive towards more diversity and inclusion.
This event is open to all and will also be livestreamed on Ascend’s YouTube channel. Save the livestream link here: www.youtube.com/user/ascendleadership/live
Learning Objectives
Why conscious and unconscious biases inhibit D&I?
How can AI mitigate biases and what does this mean for the AAPI workforce in particular?
How can organizations and businesses adopt AI in their HR practices?
What are some of the challenges in this space?
Moderator:
Amy Lui Abel
Amy Lui Abel, PhD is Vice President, Executive Programs at The Conference Board where she oversees a revenue driven portfolio of peer Councils focused on topics in Human Capital, Labor Markets, Diversity and Inclusion, Strategic HR, Consumer Behavior, Global Economics, Finance, Innovation, Strategy, Digital Transformation, Corporate Governance, Social Responsibility and Sustainability. Previously, she led research efforts focusing on human capital analytics, leadership development, strategic workforce planning, talent management, executive coaching, human resources, and employee engagement.
Amy was previously a Director of Leadership Development with Morgan Stanley supporting high potential senior leaders globally. She has also held roles at Accenture, Adobe Systems, JPMorganChase, and led a private consulting organization performance practice. She holds several degrees, including a PhD, from New York University in information technology, business education, and organizational learning and performance.
Event Speakers:
Ernest Ng
Ernest Ng is Vice President of People Strategy & Analytics at Salesforce. Ernest leads the team focusing on HR applications of predictive analytics and machine learning, HR strategy, program evaluation, organizational research, building technology solutions, and organizational transformation. This work is all in effort to deliver a consumer-grade employee experience, drive greater listening and understanding, and empower employees to help fuel the company’s incredible growth and innovation.
Ernest has more than 10 years of experience in applied research, non-profit consulting, and human resources, including building workforce analytics teams at The Walt Disney Company and Salesforce and conducting research into organizational effectiveness. Additionally, Ernest is an Adjunct Associate Professor in Human Resources Management at the University of Southern California. Ernest holds a Bachelor of Science in Psychobiology from UCLA and a PhD in Applied Developmental Psychology from Claremont Graduate University. At Claremont Graduate University, under the guidance of Dr. Mihaly Csikszentmihalyi, one of the founders of the field of positive psychology, his research focused on the interaction between culture, creativity/innovation, leadership, and intrinsic motivation.
Carol Hsieh
Carol is a SaaS Solution Consultant specializes in Enterprise Resource Planning Solution in Regulated Industries. She is passionate about bringing the best technology and solution to her customers and help them transform their business in this digital age.
Carol earned her MBA/MHA from the University of Utah and is a Certified Public Account. She co-chairs Oracle Professional Asian Leadership Employee Resource Group at Oracle and believes strongly that Diversity and Inclusion are crucial to a team's success. She is very excited to learn more about how we can leverage AI to mitigate Bias and Enhance Diversity & Inclusion.
Aleksandra (Saška) Mojsilović
Aleksandra (Saška) Mojsilović is an IBM Fellow, Head of Foundations of Trustworthy AI at IBM Research, and Co-Director of IBM Science for Social Good.
Saška spent last two decades pursuing innovative applications of artificial intelligence (AI) and data science in real-world challenges, including IT operations, healthcare, multimedia, finance, insurance, HR, and economics. Her innovative use of decision-making algorithms in business applications and novel industry solutions have shaped the fields of business analytics and data science and have led to the creation of IBM's analytics businesses. She is one of the pioneers of the rising AI for Good movement. In 2015, with Kush Varshney she created Science for Social Good program in IBM Research, with a goal of directing the advancement of AI towards social and humanitarian challenges. Saška's current research is dedicated to developing foundational AI technologies for enabling trustworthy, responsible, and beneficial AI at scale, for IBM and its customers. She led the development of several leading open-source libraries and IBM products that support fair, explainable, robust, and transparent AI. For her contributions to IBM and the industry, Saška was appointed IBM Fellow, the company's highest technical honor.
Saška is the author of over 100 publications and holds 20 patents. Her work has been recognized with multiple awards, including Harvard Kennedy School Tech Spotlight, IEEE Signal Processing Society Young Author Best Paper Award, European Conference on Computer Vision Best Paper Award, INFORMS Wagner Prize, Computing Community Consortium and Schmidt Futures AI for Good Award, IBM Extraordinary Accomplishment Award, and IBM Gerstner Prize. In 2020, she was named Datanami Person to Watch, and was included in Top 50 Women in AI Ethics.
Saška serves on the board of directors for Neighborhood Trust Financial Partners, which provides financial literacy and economic empowerment training to low-income individuals. She is a Fellow of the IEEE and a member of the IBM Academy of Technology.
Specialties: Business Analytics, People Analytics, Healthcare Analytics, Data Science, Enterprise AI, AI for Good, AI Ethics, Machine Learning, AI in Financial Services