First Mile to Last Mile Autonomy (Virtual Panel)
Featuring Apeksha Kumavat, Amy Jones Satrom and Lia Theodosiou-Pisanelli
Moderated by Kirsten Korosec
The economic drivers pushing autonomous trucking are clear, with severe driver shortages and the need for improved asset utilization topping the list. Add to that the accelerated demand for delivery and logistics spurred by COVID-19. While the business models and path forward for trucking appears to have fewer obstacles than for cars - technological, logistical and infrastructure challenges remain. This session brings together key players from the ecosystem to discuss the state of autonomous fleets, the hurdles the industry needs to overcome, and how rollouts may take shape.
Mentoring 101
Featuring Karen V. Clopton & Nicole DeMeo
In Mentoring 101, the final installment of our Accelerate Summer Series, San Francisco Human Rights Commissioner and DEI Attorney, Karen V. Clopton, and Consulting Chief Marketing Officer, Investor and Women's Leadership Advocate, Nicole DeMeo, lead a fireside chat on the building blocks of successful mentorship. Their conversation covers: personal stories of their most influential mentors, the How Women Lead Credo, mentoring in the current social climate, mentorship across gender identification, race, culture, ethnicity and generations, the "5 practical tips for finding and engaging mentors" and much more.
Interested in becoming a mentor or mentee? Sign up to take part in WIA's mentorship program!
Interested in becoming a mentor or mentee? Sign up to take part in WIA's mentorship program!
Accelerate your Personal Brand and Stand Out on LinkedIn
Infographic by AutoVision News
Women in Autonomy on AI Bias
Presented by The Autonocast Podcast
On this episode: Women in Autonomy presents a discussion of AI bias in autonomous vehicle development, featuring Aptiv's Nandita Mangal, AEye's Indu Vijayan, and NVIDIA's Neda Cvijetic. Moderated by Genevieve Smith of the UC Berkeley Haas School of Business Center for Equity, Gender and Leadership.
Eliminating Hidden Bias in Autonomy and Beyond
A Presentation by Deepti Mahajan of Ford Greenfield Lab
In Conjunction with NVIDIA GTC Digital
We tend to trust that the systems that govern our day-to-day life—standards followed by industry, regulations passed by governments—are based on thorough research. However, in many cases, the data used to design these systems fails to represent us all equally and can even reinforce or amplify existing biases. As designers and engineers of the next generation of mobility, how can we learn to recognize hidden bias in the data we utilize and information we take for granted, and thus work towards creating systems that serve everyone?