Online and in-person conference from October 18-19, 2021 in Alexandria, Virginia. Organized by Cambridge Innovation Institute.
AI World Government provides a comprehensive two-day forum to educate federal agency leaders on proven strategies and tactics to deploy AI and cognitive technologies. With AI technology at the forefront of our everyday lives, the current administration is announcing several new and updated AI initiatives. AI World Government will report on the state-of-the-practice on how federal agencies are deploying and integrating AI and data-driven government services under these guidelines. The conference convenes experts from our nation’s strong innovation ecosystem across government, technology, business and research to present the latest strategies and state of the technology to assist the public sector in leveraging advanced intelligent technologies to meet the missions of our government agencies.
The conference program will delve deeply into the following topic areas, and will include, but is not limited to the following subjects:
- Track 1: Scaling and Operationalizing AI
- Track 2: Emerging AI Technologies
- Track 3: Infrastructure Transformation
- Track 4: Risk, Resiliency & Responsible AI
- Track 5: Future of Work
Keynote: Is There a Future for Standards for Ethical AI: A Crossfire Chat between Governance and Engineering — In this dual keynote, the speakers address the challenge of developing ethical AI. Dr. Jordan asks whether AI Ops and AI governance mechanisms will be enough to ensure ethical AI. Dr. Schuelke-Leech asks whether ethical AI is compatible with engineering norms and practices. Starting from these two perspectives, the speakers identify points of overlap and points of divergence that audience members can take away to revise and guide plans for ethical AI.
- Sara Jordan, PhD, Policy Counsel, Artificial Intelligence, The Future of Privacy Forum
- Beth-Anne Schuelke-Leech, PhD, Associate Professor of Engineering, University of Windsor
Keynote: Advancing Trustworthy AI and ML Techniques for Mitigating Agency Risks — You have most likely heard about the risks associated with leveraging AI and Machine Learning (ML) assets but what exactly do we mean and how might one go about establishing trustworthy AI outcomes? Everyone speaks about data as the biggest hurdle and time consumer for data science, but what is the linkage to responsible, explainable, trustworthy AI and ethics? The presenter is passionate about mitigating risks and delves into this evolutionary topic with a focus on AI and ML, with practical methodologies and applied outcomes that are making a difference for better AI/ML stewardship in both public and private sectors.
- Pamela K. Isom, Acting Director of the Artificial Intelligence and Technology Office, Deputy Chief Information Officer (DCIO) for Architecture, Engineering, Technology, and Innovation (AET&I), U.S. Department of Energy (DOE)