PLENARY KEYNOTES
Thursday, October 6, 2022 |8:10 am - 12:00 pm ET
7:00 am - 8:10 am Registration and Morning Coffee
8:10 am Chairperson’s Remarks
Adelaide O'Brien, Research Director, IDC
8:30 KEYNOTE: Topic To be Announced
Chike Aguh, Chief Innovation Officer, U.S. Department of Labor
8:55 Sponsored Presentation (Opportunity Available)
9:20 KEYNOTE: Building Equitable & Fair AI Driven Ecosystems
Anil (Neil) Chaudhry, Director, Federal AI Implementations, U.S. General Services Administration (GSA)
For large organizations looking for “what works” in delivering and implementing fair and equitable AI services at scale, Anil Chaudhry will offer some practical tips and best practices from GSA’s AI Center of Excellence.
9:45 Networking Coffee Break in the Exhibit Hall
10:30 KEYNOTE: Talk Title to be Announced
Keith Sonderling, Commissioner, US Equal Opportunity Commission
10:55 Sponsored Presentation (Opportunity Available)
11:30 KEYNOTE: Ethical AI – The Age of Trust and Transparency for the Human-Machine American Dream
Matthew James Bailey, Founder & CEO, AIEthics.World
Ed McLarney, Lead for Transformation Integration and AIML, Transformation & Data Division, NASA CIO
Katalin K. Bartfai-Walcott, Senior Principal Engineer, CTO, Ambient Science Architecture, Intel Corporation
For the United States to successfully flourish within the age of humans and machines, it is imperative that its moral principles are codified, standardized, and transparently embodied within artificial intelligence – Ethical AI. The status of these
moral and ethical principles within artificial intelligence must be measurable to understand their degree of compliance and progress their quality. The benefit of Ethical AI is the confident alignment of artificial intelligence with the moral principles
of the United States and progression of its nation from the time of chaotic machines (today), into a new era of trust and transparency, resulting in a thriving human-machine American dream.
In this panel, Matthew James Bailey (AIEthics,World), Ed McLarney (NASA) and Kati Walcott (Intel, AIEthics,World) will discuss breakthrough Ethical AI methodologies enabling government to codify, standardize and transparently measure the ethical quality
of their moral fabric for human-machine societies.
12:00 Sponsored Luncheon (Opportunity Available)
12:45 Dessert Break
Friday, October 7, 2022 |8:15 - 11:55 am ET
7:30 - 8:15 am Registration and Morning Coffee
8:15 Chairperson’s Remarks
8:30 KEYNOTE: Panel Discussion: Ensuring You Have the Right People, Process, and Technology in Place to Implement Your AI Model
Renata Miskell, Chief Data & Analytics Officer, HHS Office of Inspector General
Ola Olude-Afolabi, Professor and IT Program Manager, US Dept of Commerce
Calvert Smith, Director, Cloud Adoption, Center of Excellence, U.S General Services Administration (GSA)
How do you determine where to start with AI implementation to ensure the optimum outcome for your organization? Hear case studies, discussion, and advice on getting approaches to implementing the best people and processes for your AI applications. Discussion
based, but not limited to:
PEOPLE: Getting leadership and communication right; exploring hiring practices for data scientists; legal and usability considerations; privacy practices.
PLAN: Where do you start? And how do you win over skeptics
to gain buy-in? How to come up with viable investment and financial strategies?
PROCESSES: Integrating ethical AI; achieving interoperability and scale.
PARTNERS: Deciding on build vs. buy models; sourcing and choosing the correct partner
for you; understanding which platforms, tools, system, etc.
9:20 KEYNOTE: Equity & Scaling and Operationalizing AI to Protect Health and Save the Lives of At-Risk Populations in Disasters
Kristen Finne, Director, HHS emPOWER Program and Senior Program Analyst, U.S. Department of Health & Human Services (DHHS)
The HHS emPOWER Program is a mission-critical partnership between the Office of the Assistant Secretary for Preparedness and Response (ASPR) and the Centers for Medicare and Medicaid Services (CMS). This program provides federal data, mapping, and artificial
intelligence tools, as well as training and resources, to help communities nationwide protect the health of at-risk Medicare beneficiaries, including 4.4 million individuals who live independently and rely on electricity-dependent durable medical
and assistive equipment and devices, and or essential health care services. This presentation will detail how through scaling and operationalizing artificial Intelligence, this data is mined from various sources to map potential needs of at-risk populations,
including where they are and what they are at risk of.
9:45 Networking Coffee Break in the Exhibit Hall
10:25 Sponsored Presentation (Opportunity Available)
10:50 Applying Oversight to Realize Accountable AI
Taka Ariga, Chief Data Scientist and Director of Innovation Lab at US Government Accountability Office
In 2021, the Government Accountability Office (GAO) published an Artificial Intelligence (AI) accountability framework to help managers ensure accountability and responsible use of artificial intelligence (AI) in government programs and processes. This
framework is built upon four complementary principles including governance, data, performance, and monitoring. For each principle, the framework describes key practices for federal agencies and other entities that are considering, selecting, and implementing
AI systems. Each practice includes a set of questions for entities, auditors, and third-party assessors to consider, as well as procedures for auditors and third- party assessors. As oversight entities mobilize to address accountability challenges
associated with AI, learn how this framework has successfully been used to apply oversight across federal agencies in a manner that is efficient, equitable, economical, and ethical.
11:15 KEYNOTE Panel Discussion: Artificial Intelligence: What’s Next?
Moderated by: Parna Sarkar-Basu, CEO & Founder, Brand and Buzz Marketing
Panelists: To be Announced
Adoption of artificial intelligence has expanding rapidly. Innovators and researchers are identifying new ways to use the technology – from unmanned vehicles focused on surveillance and reconnaissance to micro-mobility pods helping people with limited
mobility navigate airports. Yes, we’ve come a long way with AI. But what’s next? In this session, entrepreneurs and experts will discuss:
- The state of AI today
- AI and governance
- Challenges and opportunities
- Future of AI and impact on society
- And more
11:55 Sponsored Luncheon (Opportunity Available)
12:40 Dessert Break
TRACK 1: Business Outcomes & Workplace Transformation
Thursday, October 6, 2022 |1:15 - 4:30 pm ET
1:15 pm Chairperson’s Remarks
1:30 Sponsored Presentation (Opportunity Available)
1:55 Assessing Employee Feedback to Inform Workplace Culture Improvements: Tips from VA
Katerine Osatuke, PhD, Supervisory Health Scientist/Research Director at Department of Veterans Affairs
During this session, the Department of Veterans Affairs will provide insights into how they are making workplace culture improvements utilizing AI capabilities. This includes:
1. Planning and consistently tracking which employee experience aspects
are strategically important.
2. Sharing Data to:
- Provide transparency to promote trust.
- Deliver the right level of feedback to the right level of leadership—to promote relevance and actionability.
- Hold action planning conversations throughout the organization—to enable turning feedback into improvements.
3. Data Use: Measuring and reporting whether employee feedback has been put to organizational action—to promote employee engagement and leadership accountability.
2:20 Inspiring Use of Artificial Intelligence (AI) in Highway Transportation
David Kuehn, Program Director, Federal Highway Administration
Hear the transformative steps taken to innovate process and outcomes. Journey through:
- Highway transportation research motivations
- Mobility
- Safety
- Reliability
- AI in highway transportation: the state of the practice
- Expert systems
- Inference across data records
- Computer vision for detecting and classifying objects
- AI in highway transportation: Vision for the future
- Computer vision for detecting, classifying, and predicting actions
- Learning systems to support decision making
- Safety-assured AI for traffic control
Then discover how to contribute to the efforts
2:45 Networking Refreshment Break in the Exhibit Hall
3:25 When Your Data & AI Reveal More Than You Know
David Bray, PhD, Distinguished Fellow, Stimson Center
Anthony Scriffignano, Senior Vice President, Chief Data Scientist, Dun & Bradstreet
We are now discovering that data is not simply about us – either as individuals or organizations – but instead surrounds us. Perturbations in the data surrounding an organization can uncover detailed insights into the state of the organization.
This session will explore how the AI analytics surrounding your data and government agency might reveal more about your agency then you realize – and what to do about it.
3:50 Panel Discussion: Digital Transformation at IRS: Priorities, Challenges, and Opportunities for the Future
Moderated by: Mitchell D. Winans, Senior Advisor, Enterprise Digitalization and Case Management Office, Internal Revenue Service (IRS) Panelists: Senior
Representatives, Internal Revenue Services (IRS)
The IRS Enterprise Digitalization team was established to enhance the taxpayer and employee experience by spearheading the IRS’s efforts to modernize and consolidate legacy systems, simplify business processes, and empower taxpayers and employees
to rapidly resolve issues in a simplified digital environment. A panel of IRS speakers will provide an overview of IRS Digitalization goals and priorities, highlights from current IRS Digitalization initiatives and pilots (including their Technology
Verticals that are exploring ways to further integrate AI, automation, data management and analytics tools, etc. to enhance operations), alignment with broader IRS, Treasury, and government wide modernization and customer/employee experience goals
and plans for future efforts.
4:30 Closing Remarks
TRACK 2: Risk, Resilience & Responsible AI
Thursday, October 6, 2022 |1:15 - 4:30pm ET
1:15 pm Chairperson’s Remarks
1:30 Sponsored Presentation (Opportunity Available)
1:55 Considerations for Explainable AI and Real-World Data in Health Policy and Practice
Rachele Hendricks-Sturrup, DHSc, MSc, MA, Research Director, Real World Evidence, Duke-Margolis Center for Health Policy
Join leading expert, Dr. Rachele Hendricks-Sturrup, as she provides and overview of real-world data and explainable AI and offers use case examples. She will also discuss policy implications for real-world data and explainable AI moving forward.
2:20 Ransomware, Defense & Resilience Strategies
Brett Tucker, Technical Manager, Cyber Risk Management, Software Engineering Institute, Carnegie Mellon University
Ransomware has become the imminent threat to most organizations. Where most traditional cyber-attacks involved extended threat actor engagement to seek out critical information, export, and demand ransom from victims, ransomware contracts the
process and places immediate pressure on the victim to respond with payment. Unfortunately, the rise of AI and other novel attack techniques have made these attacks more ubiquitous as they are pernicious. This talk will discuss a novel means
for assessing an organization to determine its susceptibility to ransomware as much as explore the organization’s resilience to recover normal operations considering a successful attack. Attendees will discover the key domains for analysis
as well as practical tips for facilitating the assessment.
2:45 Networking Refreshment Break in the Exhibit Hall
3:25 Implementing Responsible, Human-Centered AI
Carol Smith, Senior Research Scientist, Human-Machine Interaction, AI Division, Carnegie Mellon University
AI systems augment humans at work and at play, and their dynamic nature requires significant awareness of the data they are built on, how models influence the experience, and flexibility regarding design choices. Doing the speculative work to
identify potential negative outcomes and harms requires uncomfortable discussions and entirely new domains of practice. There are already many examples of existing historical bias being replicated, and unintentional, but significant harms
affecting broad populations. Identifying and considering the benefits and limitations of these systems is challenging enough. Determining how, and to what extent, these systems will augment their human partners; what that exchange "feels"
like and how it changes over time; and how we will keep people safe and in control, can be intimidating. Learn to wield technology ethics to make systems that are accountable, de-risked, respectful, secure, honest, and usable. The presenter
will introduce the topic of ethics and then step through a framework to guide teams successfully through this process.
3:50 Panel Discussion: Responsible AI as an Organizational Strategy
Moderated by: Ricardo Baeza-Yates, Professor and Director of Research, Institute for Experiential AI, Northeastern University
Panelists: Cansu Canca, PhD, Ethics Lead & Research Associate Professor, Institute for Experiential AI, Northeastern University
Additional Panelists
to be Announced
We explore the key questions that governmental agencies need to ask themselves before and during the design and deployment of a new AI support tool to ensure responsible use of AI systems. These include a range of ethical, legal, and technical
questions such as those on competence, bias, and rights.
AI ethics principles are a part of a broader responsible AI strategy, which include guiding materials and tools for ethical decision-making in AI, processes to integrate ethics into AI development and deployment, and specific roles for ethical
decision-making in AI. The audience will learn how to implement responsible AI in their organization in a comprehensive, actionable, and robust manner. Examples will be shared from different federal department and agency initiatives.
4:30 Closing Remarks
TRACK 3: Scaling and Operationalizing AI
Friday, October 7, 2022 |1:00 - 4:00pm ET
1:00 pm Chairperson’s Remarks
1:15 Talk Title to be Announced
Speaker to be Announced, Alyterx
1:40 Driving AI Application Development Through Industry Collaboration
Olga Livingston, PhD, Senior Economist, US Dept of Homeland Security
Gary Jones, CISA CTO, US Dept of Homeland Security
This presentation will provide an overview of AI capabilities currently used and sought after by CISA. Summary of current capabilities and demand areas will be followed by a discussion of a specific protective email and risk content measurement
capability that could be greatly enhanced by AI/ML. The desired outcome is a robust approach to evaluating risk content in the delivered email messages and attachments. Industry insight and recommendations for the potential approach are
most welcome and much appreciated.
AI-Powered Applications: Establishing Mature Data Governance Practices for Transforming Teams
Bryan Lane, Chief, Business Intelligence Services, Federal Deposit Insurance Corporation (FDIC)
As digital technologies such as artificial intelligence are adopted on a broader scale, implementing a tailored and mature approach to data governance is critical. Listen in, as Bryan Lane, Chief, Business Intelligence Services of the FDIC
discusses key elements that are present within a successful data governance strategy and actionable advice for putting into practice a framework that best suits your organization.
2:30 Coffee Break
2:40 Leading Practices for Foundational Data Management
Richard Patterson, Chief Data Officer, Federal Government Agency
3:05 Sponsored Presentation (Opportunity Available)
3:30 Better AI Solutions with an AI Engineering Body of Knowledge
Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute
Federal leaders seek to obtain the leap-ahead capabilities offered by Artificial Intelligence (AI), yet many challenges stand in their way. The creation of an AI Engineering Body of Knowledge (BoK) establishes common principles and practices
to support practitioners in delivering reliable, responsible, safe, fair, and transparent solutions. In this session, we will explore the dynamic AI Engineering BoK concept currently under development by the Carnegie Mellon University
Software Engineering Institute and how it can be used across diverse organizations.
3:55 Closing Remarks
4:00 Close of AI World Government
TRACK 4: Emerging AI Technologies
Friday, October 7, 2022 |1:00 - 4:00pm ET
1:00 pm Chairperson’s Remarks
1:15 Sponsored Presentation (Opportunity Available)
1:40 Utilizing Emerging AI Technologies as Part of the Digital Transformation at NASA
Ed McLarney, Lead for Transformation Integration and AIML, Transformation and Data Division, NASA CIO
Explore NASA’s AI/ML transformation strategy and implementation progress, focusing on learning and development approaches, outreach, and the latest emerging technologies being utilized. AI/ML learning and development has included assessing
the workforce’s needs, organizing available learning assets, and providing easy mechanisms to choose materials. Finally, like many organizations, NASA must guide early adopters of AI in ethical use; Mr. McLarney will share NASA’s
initial approaches to ethical AI.
2:05 Talk Title to be Announced
Speaker to be Announced, US Patent and Trade Office
2:30 Coffee Break
2:40 Metaverse for Government: Serving Citizens in the Metaverse
Kashyap Kompella, CFA, Chief Analyst, RPA2AI Research
What is the Metaverse?
- How does AI enable the Metaverse?
- What opportunities does it create to further your agency mission?
- Does it create any risks and how to mitigate them?
3:05 Sponsored Presentation (Opportunity Available)
3:30 Presentation to be Announced
3:55 Closing Remarks
4:00 Close of AI World Government