Participate in AI User Research at AU 2023

Are you ready to shape the future of AI?

Participate in cutting-edge research at AU 2023!

Autodesk: the global leader in design-and-make AI research

As a leader in design-and-make-related AI research, Autodesk is pursuing original research to identify potential threats and concerns related to the use of AI in the industries we serve. Autodesk is committed to responsible, ethical, and transparent AI development and we need your help. Since 2018, the Autodesk Research AI Lab has published over 50 peer-reviewed research papers in leading journals and conferences, including topics on foundational 3D-geometry, machine learning, generative AI, and more.

“Red Teaming” for responsible, ethical, and transparent AI

Traditionally applied to cybersecurity concerns, red teaming is an exercise that involves thoroughly questioning plans, policies, systems, and assumptions through an adversarial approach. This can be done by either an external contractor or an internal team that employs methods to encourage an outside perspective. The primary objective of red teaming is to combat cognitive errors like groupthink and confirmation bias that can hinder an individual or organization’s decision-making and critical thinking abilities.

Join the generative AI Red Teaming challenge at AU!

At DEF CON 2023, the annual hacking conference, Dr. Chowdhury led a red teaming exercise with the intent to break or “hack” a generative AI model. The unique aspect of this exercise is that it expanded the notion of a “hack” to include “embedded harms” – that is, naturally occurring mistakes (like hallucinations) that happen in the course of regular use.

Autodesk will apply this approach not to cybersecurity concerns, but to the responsible use of AI technologies. During these upcoming red teaming exercises at AU 2023 join us to learn more about AI applications and explore the potential opportunities, impact, and concerns.

The definition of ‘red teaming’ has evolved from technology and security experts to individuals with deep subject matter expertise in an applied field. Join us as we attempt to proactively identify opportunities and concerns for design-related models.

Seeking thought leaders, design professionals, and innovators!

We need industry professionals like you for your feedback on the potential impact of AI on your business. We are partnering on groundbreaking research to better understand the benefits and concerns of AI technology in the industries and disciplines we serve.

Sign up today!

We will host two Red Teaming exercises at the following dates/times:

• Monday November 13, 2 to 3 pm
• Tuesday November 14, 2 to 3 pm

Attendance and space is limited; completing the form does not guarantee participation.

Join us to discuss responsible AI and share your feedback!

Meet Dr. Rumman Chowdhury

Dr. Chowdhury is an Autodesk Research Fellow and currently runs Parity Consulting and the Parity Responsible Innovation Fund. Dr. Chowdhury is also a Responsible AI Fellow at the Berkman Klein Center for Internet & Society at Harvard University. Her passion lies at the intersection of artificial intelligence and humanity.  Previously, Dr. Chowdhury was Director of the Machine Learning Ethics, Transparency, and Accountability team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform. She formerly served as Global Lead for Responsible AI at Accenture Applied Intelligence. In her work as Accenture’s Responsible AI lead, she led the design of the Fairness Tool, a first-in-industry algorithmic tool to identify and mitigate bias in AI systems.

Meet Daniela Steinsapir

Daniela Steinsapir is a highly experienced design professional with over 15 years of experience in the technology industry. Currently serving as the Senior Manager of Experience Architecture at Autodesk, she is responsible for leading the design and research strategy for the Visualization team and Generative AI Trust – Red Teaming research. Daniela is passionate about creating user-focused and enriching experiences, using design strategy, and experimental methods to unleash the full potential of innovation. Before taking on her current role, Daniela served as the experience design leader for Autodesk’s Education Experiences, where she spearheaded the transformation of certification and learning programs. Daniela holds a master’s degree from Stanford University, in Learning Design and Technology and has experience in new media art, robotics, virtual reality and in artificial intelligence.