2/27/2020 Programs - AI World Government (/) https://www.aiworldgov.com/program 1/13 2/27/2020 https://www.aiworldgov.com/program Programs - AI World Government 2/13 2/27/2020 Programs - AI World Government Conference Co-Chairs: Eliot Weinman, Founder and Conference Chair, AI World & AI World Government, Cambridge Innovation Institute Scott Lundstrom, Group Vice President and General Manager, IDC Software Research Keynote Speakers: David A. Bray, PhD, At Atlantic Council, Incubating New Global Center & Senior Fellow, Institute for Human-Machine Cognition Bob Gourley, Co-Founder and CTO, OODA LLC Cheryl Ingstad, Director, Arti cial Intelligence & Technology O ce, U.S. Department of Energy Ted Okada, CTO, FEMA Anthony Scri gnano, PhD, Senior Vice President & Chief Data Scientist, Dun & Bradstreet Ronald Stroup, Chief Systems Engineer, Federal Aviation Administration, NAS Enterprise Planning & Analysis Robert Ames, Senior Director, National Technology Strategy, VMWare Microsoft Executive to be announced Closing Plenary Session Moderator: Scott Lundstrom, Group Vice President and General Manager, IDC Software Research Panelists: Adelaide O’Brien, Research Director, Government Digital Transformation Strategies, IDC David Schubmehl, Research Director Cognitive/Arti cial Intelligent Systems and Content Analytics, IDC Shawn McCarthy, Research Director, IDC Cynthia Burghard, Research Director, Value-Based IT Transformation Strategies, IDC Health Insights Maureen Fleming, Program Vice President, Integration and Process Automation, IDC Amy Loomis, Research Director, Future of Work, IDC JUNE 22 | DAY 1 Morning Summit Executive Summit: the Future of Data, AI, and Work Co-Chairs: Scott Lundstrom, Group Vice President and General Manager, IDC Software Research David A. Bray, PhD, At Atlantic Council, Incubating New Global Center & Senior Fellow, Institute for HumanMachine Cognition Hosted by: In the digital era, AI is at the center stage of business intelligence. Data is the core of the new digital economy and needs to be managed from edge to core to cloud and analyzed in near real time for insights. Due to the complexity and resources required for AI, model creation tends to be time intensive, expensive, experimental, and often "one-off" solutions. Most organizations haven't made it beyond the incremental bene ts of a single business process to full production agency wide. At AI World Government 2020 agency and industry executives with experience confronting the challenges of operationalizing and scaling AI will discuss how they are dealing with roadblocks, lessons learned, strategies in play to move forward, and taking responsible and ethical action to affect outcomes. Full Day Seminar https://www.aiworldgov.com/program 3/13 2/27/2020 Programs - AI World Government Instructors: Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica Kathleen Walch, Managing Partner, Principal Analyst, Cognilytica Led by: Arti cial Intelligence (AI), machine learning (ML), and deep learning (DL) are transforming the way we work, live, and interact with each other. The emergence of these cognitive technologies is transforming the way public sector agencies and citizens interact with each other. However, putting AI, ML, and DL into practice and getting beyond the buzzwords, as well as procuring these technologies can be a challenge. This seminar focuses on bringing real world practices, use cases, and methodologies to make AI projects a tangible success for public and private sector organizations. It will also help procurement professionals to understand why procuring AI is different than procuring traditional application development technology. Attendees will gain insight into what makes AI projects a success across a wide range of industries, learn about the seven patterns of AI, and learn about emerging cognitive automation and intelligent automation approaches. Click here for details (/seminar-putting-ai-into-practice-in-the-public-sector) Co-Chairs: Bob Gourley, Co-Founder and CTO, OODA LLC David A. Bray, PhD, At Atlantic Council, Incubating New Global Center & Senior Fellow, Institute for HumanMachine Cognition Led by: AI has injected new capabilities into government and is already improving the missions and functions of federal, state and local governments as well as governments globally. If this were the end of the story, our task would be simple. We would only need to accelerate AI into every facet of every government. But we live in a world where not all humans are angels and not all nations respect the sovereignty of others. And with globally interconnected IT allowing criminals, fraudsters and hostile nations to continuously innovate, we have to be mindful of the challenges of cybersecurity and countermisinformation. Experience also shows that AI itself has unique security challenges because of the nature of the algorithms involved. Enterprises are nding that their AI solutions need special protections. AI needs to be developed in the most secure manner possible. Adversaries who can access training data can manipulate it to drive outcomes of ML. Algorithms themselves must also be protected. Many AI solutions have been shown to be biased and/or bigoted. And in some cases, the solutions will generate results that are unexplainable, making security and compliance even more complicated. This half day seminar, led by two widely recognized AI experts, will bring together a range of experienced practitioners to share lessons learned and best practices in mitigating these serious challenges so we can accelerate the elding of AI in service to governments. Led by: https://www.aiworldgov.com/program 4/13 2/27/2020 Programs - AI World Government Chair: Beth-Anne Schuelke-Leech, PEng, MBA, PhD, Associate Professor, Engineering Management and Entrepreneurship, University of Windsor Chair of the IEEE Society on Social Implications of Technology Standards Committee (SSIT SC) What do public and private sector o cials need to know about non-governmental efforts to develop standards for Arti cial Intelligence? In this workshop, representatives from the IEEE standards association will introduce the ways IEEE is moving into standards-making that addresses the social implications of technology. We aspire to introduce attendees to the IEEE Society for Social Implications of Technology standards-making and the IEEE Ethically Aligned Design initiative. Components of this workshop will include panels that discuss the issues in developing and implementing standards, as well as invite participants to offer their guidance on the standards that their industry will need as they move forward to incorporate AI into their work ow. JUNE 23 | DAY 2 Chair: Adelaide O’Brien, Research Director, Government Digital Transformation Strategies, IDC AI will prove to be a valuable asset for government agencies, but several challenges remain in moving beyond RPA and chatbots to reach the goal of augmented intelligence. In this track, you will hear from agency and industry executives with experience confronting these challenges, how they are dealing with roadblocks, strategies in play to move forward, and outcomes achieved. Challenges and solutions discussed will include: Reengineering agency work ows and processes Workforce training on using and interacting with AI Deciding who owns the data Developing data management and governance strategies Organizing stakeholders to determine roles of each team member Creating policies to ensure responsible and ethical AI Leveraging industry partners Deploying best practices Talk Title to be Announced Steve Bennett, Director, Public Sector and Financial Services Practice, SAS, Former Director of the U.S. National Biosurveillance Integration Center in the Department of Homeland Security A Team Approach to Successfully Deploying AI – AI Strategy at NASA Edward L. McLarney, A/CIO for Transformation; Data Science Strategic Lead, O ce of the Chief Information O cer, NASA Langley Research Center This talk will review the pillars of NASA’s AI strategy, to include focusing on practical application of AI, making AI platforms available, AI training for different roles, and forming an Agency-wide AI community of action. Ed will also discuss insights and lessons from team formation, strategy creation, early implementation, and interdependencies with other aspects of transformation. Panel: Data Management and Governance Strategies By November 2020, all agencies will have begun enterprise-wide data governance activities such as an agency data strategy or road map, capital planning for enterprise data assets and infrastructure, priority data governance for such practices as preparing data for use in arti cial intelligence, and a master data management program. In this session, agencies share preliminary plans and best practices of data management and governance strategies. Caryl N. Brzymialkiewicz, PhD, Chief Data and Analytics O cer, Department of Health and Human Services, O ce of https://www.aiworldgov.com/program 5/13 2/27/2020 Programs - AI World Government Inspector General ‘pending approval’ Panel: Sharing Agency Best Practices and Leveraging Other Agency Solutions to Implement AI Key challenges in the use of AI in Government are how to use it effectively and how to educate colleagues about how it can improve operations. This panel will focus on agency best practices, policy integration, and related AI issues. Some issues include how to build a cross-functional team and what types of projects may be doable and useful to the agency mission. To use AI effectively, it’s important to gure out and focus on project ideas in which AI can make a signi cant difference, improve productivity or advance other key functions. Thinking through the process of moving forward with AI, and discussing data requirements are also important steps. The audience will gain an understanding of the importance of Arti cial Intelligence (AI) for government applications, obtain additional resources for further information, and hear about some policy implications. Moderator: Margaret Williams, Vice Chair, Learning and Development - USPS, Senior Executives Association Panelists: Jaime Anne Earnst, MPH PhD, ORISE Fellow/ Translational Scientist, Deputy Chief of Staff, G9, US Army, Department of Defense Elizabeth Varner, Women's Bar Association of DC, Co-Chair, 20+ Years of Experience; Adjunct Professor, Indiana University, Robert H. McKinney School of Law Catherine Pagano, Board Member, Women’s Bar Association of DC Michael Fox, Senior Vice President, Product Management, Product, ElectrifAi Creating a Culture of Innovation Around AI Speaker to be announced, pending approval The General Services Administration is spearheading the acceleration and adoption of AI related technology across the federal government through our Centers of Excellence, Community of Practice, and government-wide services. This presentation summarizes how those efforts can operationalize AI within an organization, including top down and bottom up approaches, success stories, and organizational transformation techniques to support AI-enabled initiatives. Designing Policies to Ensure Responsible and Ethical AI Jessica Young, Director, Research and Analysis, National Security Commission on AI Chuck Howell, Chief Scientist of Dependable AI, MITRE Corporation In addition to adhering to NIST policies, agencies should seek industry partners that understand the ethical, legal, cultural and social implications of AI, as well as those developing methods for testing AI systems for fairness. This session includes an update from NIST as well as individual agency efforts in deploying responsible and ethical AI. Chair: David Schubmehl, Research Director Cognitive/Arti cial Intelligent Systems and Content Analytics, IDC AI is the means by which organizations are enabling and creating digital transformation and the government is working toward becoming an AI organization. This track provides attendees with a roadmap for the evolution of AI technologies over the next few years. Talks and panels will include: Use Cases & Advances in Computer Vision and Facial Recognition Language-based AI – Improved NLP and Translational Technology AI for Autonomous Vehicles, Drones and Robotics The role of AI in cyber and cyber-physical security Machine Learning and AI Enabling the Investigation & Discovery Process through Knowledge Graphs Cutting-Edge Topics: Quantum Computing, Training Data, AI Governance, Explainable & Trusted AI, Synthetic Data, AI at Edge https://www.aiworldgov.com/program 6/13 2/27/2020 Programs - AI World Government Talk Title to be Announced ALEX Executive Applied Innovations using AI and Emerging Technologies Pamela Isom, Deputy Chief Information O cer for Architecture, Engineering, Technology, and innovation, U.S. Department of Energy, O ce of the Chief Information O cer Digital transformation means nothing unless we are solving business problems and addressing mission needs. Learn how arti cial intelligence and other emerging technologies are being applied in the government ensuring that innovations really matter, including critical proof of concepts, pilot initiatives, and optimization of an innovation community center – a digital hub that ignites innovation. Small Data, Big Insights: Visual Learning from Sparse Data and Annotations Raja Bala, PhD, Principal Scientist and Manager of Collaborative Visual Computing Group, PARC, a Xerox Company While deep learning has de ned the state of the art for many computer vision tasks, its practical deployment is limited by the requirement for large quantities of annotated image data. In many specialized applications such as medical imaging, data acquisition and annotation is costly and laborious; hence analysis techniques must learn to draw useful interpretations from small datasets. In this talk we highlight several approaches developed at PARC to tackle the “small data” challenge. This includes incorporating domain-speci c constraints into deep networks, techniques to extract structure from unlabeled data, and human-in-loop approaches for smart image acquisition and annotation. Panel: AI at the Edge & Emerging Technologies Moderator: Roberta (Bobbie) G. Stemp ey, Director CERT Division, Software Engineering Institute, Carnegie Mellon University Panelists: Summer Fowler, CIO/CISO, Argo AI Joseph Raetano, Arti cial Intelligence Researcher, US Federal Government Amy Henninger, Senior Advisor, Software & Cybersecurity, O ce of the Secretary of Defense Talk Title to be Announced REI Systems Executive Panel: Strategic Development of Arti cial Intelligence Technologies Arti cial intelligence (AI) is not an end in itself, but rather assists with success in real-world, human-centric problems. As such, AI should be designed to supplement human efforts when AI can perform better and yield to human efforts when humans perform better. In this presentation, I will review how human intelligence and AI can be mutually leveraged to produce optimal outcomes to problems ranging from document editing to the battle eld. Moderator: Daniel Cassenti, Research Psychologist, U.S. Army Research Laboratory Panelists: Carl Rubino, Program Manager, IARPA O ce of the Director of National Intelligence Thom Hawkins, Project O ce/Applied AI Lead, Technical Management Division, US Army Project Manager Mission Command Michelle Vanni, Computer Scientist, U.S. Army Research Laboratory Chair: Shawn McCarthy, Research Director, IDC https://www.aiworldgov.com/program 7/13 2/27/2020 Programs - AI World Government As government IT organizations continue to explore ways that arti cial intelligence, machine learning and deep learning can enable innovation, productivity, and e ciencies, a key question is how to build the right environment and infrastructure to support these compute-intensive, next-generation applications. From portable devices to edge computing nodes to cloud-based data centers, AI demands a tremendous amount of resources. This track explores current use cases of how cloud-based infrastructure helps organizations capitalize on the potential of AI and machine learning, and provides best practice examples of agencies on the cutting edge of AI and ML implementations. Use Case Opportunities for the Application of AI in the National Airspace System Critical Infrastructure Sector Jeff Lyons, Electronics Engineer, Manager, Federal Aviation Administration, National Airspace Engineering Learn about the opportunities and challenges of applying AI in the National Airspace System (NAS) Critical Infrastructure sector. The transformation must address both the planning and physical infrastructure environments. This session will discuss the development of a proof-of-concept to apply AI to the NAS-impact Enhanced Strategic Awareness Toolbox (NESAT) in order to exercise more effective planning, acquisition, and implementation of the NAS, deliver improved performance to the NAS and minimize the impact to NAS end-users. Talk Title to be Announced Brian Drake, Future Capabilities and Innovation O ce, Defense Intelligence Agency Panel: Infrastructure Transformation: Overcoming Challenges to AI Adoption This multi-agency panel will discuss infrastructure considerations in establishing a scalable AI architecture such as challenges around data management and access, cloud infrastructure implementation, and nding the necessary expertise. Moderator: Shawn McCarthy, Research Director, IDC Panelists: Brian Thomas, PhD, Agency Data Scientist and Program Manager for Open Innovation, NASA Daniel Morgan, Chief Data O cer and Acting Chief Technology O cer, US Department of Transportation Zack Schwartz, Deputy Division Chief, U.S. Census Bureau DataRobot Executive Leveraging the Federal Data Strategy to Advance AI in Government Nick Hart, PhD, CEO, Data Coalition The Federal Data Strategy and the 2020 Action Plan chart a course for the federal government to better use and manage data over the next decade. The Data Coalition – America’s premier voice on data policy -- partnered with the White House in 2019 to support development of a useful and realistic plan of action. The nal strategy provides the starting point for many federal agencies to advance data governance, data quality, data discoverability -- all essential to the success of AI. This presentation will focus on how agencies can leverage the new data strategy to meaningfully advance applications of AI using government-collected data in 2020 and beyond. How the Federal Government can Execute AI Strategically, Programmatically, and Tactically Lee Becker, Chief of Staff, Veterans Experience O ce, U.S. Department of Veterans Affairs Anil Tilbe, Director of Enterprise Measurements & Design, Veterans Experience O ce, U.S. Department of Veterans Affairs JUNE 24 | DAY 3 Chair: Cynthia Burghard, Research Director, Value-Based IT Transformation Strategies, IDC Health Insights https://www.aiworldgov.com/program 8/13 2/27/2020 Programs - AI World Government The application of arti cial intelligence to improve healthcare is a high priority for government, both because of the immense spending and services represented by healthcare, as well as the enormous opportunities to use AI to accomplish more e cient and better integrated care. Perspectives presented will include top-down policies and overarching strategies for major departments and agencies, as well as speci c examples of smaller projects that can be implemented in collaboration with partners. It is critical to demonstrate the potential for democratization of AI for healthcare, and emphasize that even in smaller units that do not have huge budgets, there are excellent opportunities to apply AI relatively quickly and with positive impact in the short-term. Competitions and challenges, which solicit collaborative entries from numerous academic and commercial partners, are one of the ways of accelerating innovation and adoption in this eld. Panel: Competitions, Challenges, Crowdsourcing and Partnerships for AI Applications in Healthcare Talk Title to be Announced Ken Thomson, Director, IT Special Projects, Mass Health and Human Services Talk Title to be Announced Charles Jaffe, MD, PhD, Chief Executive O cer, Health Level 7 Panel: Issues and Opportunities for AI in Biomedical Research Panelists: Keyvan Farahani, PhD, Center for Biomedical Informatics & IT, National Cancer Institute Behrouz Shabestari, PhD, Acting Director, Division of Health Informatics Technologies, NIH Jessica Mazerik, PhD, Special Assistant, O ce of the Principal Deputy Director, NIH Chair: Maureen Fleming, Program Vice President, Integration and Process Automation, IDC Government agencies face unprecedented operating challenges as they manage mounting budget constraints while trying to become more agile, improve citizen experience and improve their overall process e ciencies. As agencies grapple with these challenges, automation becomes increasingly important -- especially when budget restrictions prevent agencies from hiring new employees while also needing to reduce or restrict use of contingent workers. Robotics Process Automation (RPA) in combination with AI create the basis for intelligently automating repetitive tasks. This takes the strain off manually intensive operations, improves the productivity and decision-making capabilities of an agency’s knowledge workers and protects agencies from losing critical skills as members of their workforce reach retirement. Hear from thought leaders and agency experts who will discuss the current and evolving uses cases of intelligent automation and how this set of technologies will help resolve some of the burdens of scarce resources. Overview of RPA and Intelligent Automation Market Maureen Fleming, Program Vice President, Integration and Process Automation, IDC Scaling Enterprise IT Capability through Enabling Citizen Developers Kevin Tupper, Senior Cloud Solution Architect / AI Ambassador, Microsoft Corporation Shawn Gorrell, Director and Principal Technology Architect, Federal Reserve Bank of Atlanta Intelligent automation through low and no-code platforms help IT service providers scale their limited development resources and provide great business value to the enterprise. Maturing tools allow for citizen development of intelligent, automated workloads by business area personnel, in partnership with IT. https://www.aiworldgov.com/program 9/13 2/27/2020 Programs - AI World Government Join Kevin and Shawn as they de ne the playing eld, demonstrate examples, discuss best practices and challenges, and explore how the Fed has approached the topic. RPA: Rapid Adaptive Path Kent Craig, Program Analyst, Commerce, USPTO Government can adopt RPA rapidly and successfully by following an adaptive path that embraces knowledge and hands on experience from the beginning and then communicates, collaborates, and coordinates continuously. Chair: Amy Loomis, Research Director, Future of Work, IDC As government agencies continue down the mandated path of AI adoption, fundamental questions revolve around ‘what applications should be deployed’ and ‘what new skillsets are required'? The growth and adoption of AI and intelligent automation solutions are giving rise to a new "digital worker" – automated technology that is rapidly changing the nature of the human workforce and related skillsets. At the same time, our consumer experiences are driving new sets of expectations for almost immediate (and intelligent) access to resources, anytime and anywhere. Members of our multi-generational workforce have differing workstyles that must be accommodated. And broader macroeconomic, geopolitical and environmental trends are also impacting the work environment. Work transformation is about rethinking the way work gets done. It is a fundamental shift in the work model to one that fosters human-machine collaboration; enables new skills and worker experiences and supports an intelligent and dynamic environment un-bounded by time or physical space. This track will explore how work transformation impacts strategic government functions today and in the future. Talk Title to be Announced Alion Science Executive Panel: Work Transformation Best Practices Discussion of work transformation best practices in other industries and how they can be applied to government, including best practices for talent recruitment and retention. Moderator: Amy Loomis, Research Director, Future of Work, IDC Panelists: Laura Furgione, Chief Administrative O cer, Department of Commerce, U.S. Census Bureau Workforce of the Future -- How Does the Digital Age In uence How We Recruit, Retain, and Develop Our Workforce? Jason M. Brown, Colonel, USAF; Director, CSAF Strategic Studies Group Culture: Transforming Work at the Intersection of Technology, Process, and People Speaker to be announced, pending approval AI and the Intelligent Digital Workspace: Drive Productivity and Improve Employee Experience Laura Victorino Murdock, GM of the AI Software Venture, Xerox’s Palo Alto Research Center (PARC) Work environments are often characterized by manual and repetitive operations, gritty organizational friction, endless context switching, and a lack of technology investments that have hobbled speed and agility. We now see new digital workspace solutions developed to meet these challenges. 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