Machines and equipment are already making inroads into our society and are quickly putting their stamp on the labor market.
Within the labor market, these changes have been brought on by the drive for companies to be more efficient. Undoubtedly, these forces will continue and will reshape the frontier to determine what is possible for automated machines to manage in the workforce of the 21st century. While these machines have staggering potential, they must also be carefully examined through the lens of humanity and the greater good for our society.
Come join us as we explore these dynamics and how they will shape our society and our workforce. How will we interact? How do we best leverage these technologies and insights to better our society as a whole?
Rob is the CEO of Artefact Group, a Seattle Design and Innovation Consultancy that specializes in Human-Centered Design and Ideation. Under Rob’s guidance, Artefect is marching towards its stated goal to create a world we all want to live in. Today and tomorrow. The firm’s scope is far-reaching, having worked with VICIS to design a new helmet for the NFL to improve safety. The firm has also turned its meticulous eye towards homelessness in Seattle, Scholarship initiatives for Mastercard, and copious research and practices within the world of Artificial Intelligence, Augmented Reality, and Virtual Reality.
Dan Liebling is Staff Software Engineer at Google Research and Machine Intelligence where he helps humans and computers work together with AI. Prior to his work at Google, Dan was a Principal Research Software Engineer at Microsoft Research where he focused on applied machine learning and human-computer interaction. An advocate for civic tech, Dan believes that governments and nonprofits have largely been left behind in the “AI revolution,” but that simple, targeted interventions can yield positive results. Dan holds a B.S. in Computational Neuroscience from California Institute of Technology (Caltech), and an M.S. in Computer Science and Engineering from the University of Washington.
As Avanade’s Senior Director of Innovation, Aaron leads Avanade Innovation Labs emerging technology practice. At Avanade, they look to understand current trends, partner with other companies and startups, and bring point of views to our business executives and clients. Avanade Innovation Labs’ current focus is on Artificial Intelligence (automation, machine learning, bots, voice, cognitive), block chain, immersive technology (virtual/augmented/mixed reality), API Management, and Digital Ethics.
Caleb Weaver manages public affairs for Uber in Washington State. In this role, he is responsible for all engagement with state and local policymakers and community leaders, the development of new regulatory systems for transportation network companies and today’s modern workforce. Uber is leading the charge in many automation projects. Additionally, Caleb speaks regularly on the many social implications of AI/automation that we are already seeing in the marketplace.
Cesar Keller is the former CMO of Microsoft LATAM and a leader of the marketing team responsible for Revenue Marketing and Customer Success. Currently, Cesar is a public speaker, angel investor, and dignitary. He is currently looking at the role of automation on the future of work and he is also developing the future of work and education to a tech empowered society.
Ece Kamar is a Senior Researcher in the Adaptive Systems and Interaction Group at Microsoft Research. Ece received her Ph.D. in computer science from Harvard University in 2010. Her research is inspired by real-world applications that can benefit from the complementary abilities of people and AI. Since many real-world problems requires interdisciplinary solutions, her work spans several subfields of AI, including planning, machine learning, multi-agent systems and human-computer teamwork. She is passionate about investigating the impact of AI on society and studying ways to develop AI systems that are reliable, unbiased and trustworthy. She has over 40 peer-reviewed publications at the top AI and HCI venues and served in the first Study Panel of Stanford’s 100 Year Study of AI (AI100).