ROOM LOCATION: Constitution A

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: How AI is Enabling Resiliency in Federal Agencies

Adelaide O’Brien, Research Vice President, IDC Government Insights

Applications based on artificial intelligence (AI), machine learning, and continual deep learning are transforming how consumers, enterprises, and agencies work, learn, and interact. AI has the potential to significantly impact mission outcomes through strategic leadership, employee skills and citizen engagement. Federal agencies are applying AI technologies to these fundamental processes and incorporating AI into the fabric of their mission to become digitally resilient. This session will address federal government challenges, trends and tangible benefits in using AI.

8:30 KEYNOTE: Equity & Effectiveness in AI

Chike Aguh, Chief Innovation Officer, U.S. Department of Labor

8:55 KEYNOTE: Art of the possible with AWS AI

Wilfred JustinWilfred Justin, Head of Modernization, Partners, WWPS, AWS

Join us to learn about how AWS technologies can inspire your business to innovate and the art of the possible with AI and ML. This will provide an overview of the AWS AI/ML stack, the differentiators of the platform, and how partners are leveraging AWS ML stack to deploy workloads on behalf of Government agencies. Learn about use cases in Public Sector that are being addressed by AWS ML stack and most importantly how AWS partners can take advantage of Rapid Adoption Assistance that would help them to build machine learning workloads using AWS ML stack by engaging with a team of AWS experts at no cost.

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: Implications of Artificial Intelligence (AI)/Machine Learning (ML) for Equal Employment Opportunity

Keith Sonderling, Commissioner, US Equal Opportunity Commission

Commissioner Sonderling will address the implications of Artificial Intelligence (AI)/Machine Learning (ML) for equal employment opportunity. Employers are using AI to make employment decisions at every stage of the job life cycle, from hiring to promotion to firing. AI-driven technologies have the potential to make the workplace more open, fair, and inclusive by eliminating unlawful discrimination from employment decisions. However, AI can also amplify workplace bias if it is poorly designed or carelessly deployed.

  • Overview of the legal framework governing AI in the US
  • Key ways the US civil rights laws protect employees from discrimination by algorithm
  • Suggest ways that employers can reap the benefits of AI while respecting the rights of workers

10:55 Scaling AI Across the Government

Matthew HooverMatthew Hoover, PhD, Lead Data Scientist, Data Robot
Implementing AI, as it turns out, is difficult. It takes time, resources, and the right problem to solve to make an AI solution effective. Moreover, building a solution is only part of the issue; ensuring it stays relevant and accurate requires even more effort. This is for a single model, so how do we move from a single model to scale solutions throughout the government? This talk will discuss the challenges and solutions to help government enable their workforce with AI and at scale.



11:20 KEYNOTE: Ethical AI – The Age of Trust and Transparency for the Human-Machine American Dream

Matthew James Bailey, Founder & CEO, AIEthics.World

Louis Barbier, PhD, Associate Chief Scientist, NASA

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) and Louis Barbier (NASA) 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 Boxed Luncheon Available in the Exhibit Hall

12:45 Dessert Break in the Exhibit Hall

Friday, October 7, 2022 |8:15 - 11:55 am ET

7:30 - 8:15 am Registration and Morning Coffee

8:15 Chairperson’s Remarks: Artificial Intelligence and the 21st Century Government Agency

Kashyap Kompella, CFA, Chief Analyst, RPA2AI Research

8:30 KEYNOTE: Panel Discussion: Ensuring You Have the Right People, Process, and Technology in Place to Implement Your AI Model

Moderator: James Cooper, Professor, Director, International Legal Studies, California Western School of Law

Renata Miskell, Chief Data & Analytics Officer, HHS Office of Inspector General

Ola Olude-Afolabi, PhD,  AI - PM & Administrator, DOC AI Center of Excellence - OCTO, U.S. Department of Commerce

Calvert Smith, Director, Cloud Adoption, Center of Excellence, U.S General Services Administration (GSA)

Ashley MillerAshley Miller, Sr. AI/ML Evangelist, AWS

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, Administration for Strategic Preparedness and Response (ASPR), U.S. Department of Health and Human Services

This presentation will provide an overview of AI capabilities currently used by the U.S. Department of Health and Human Services to protect and save the lives of vulnerable populations prior to, during and after emergencies disasters. Optimization and scaling of these AI capabilities advanced equitable planning for, outreach to and assistance in accessing COVID vaccine and therapeutics.

9:45 Networking Coffee Break in the Exhibit Hall

10:25 KEYNOTE: Defending Humanity: The Unintended Consequences of AI Without Governance

Carl Hahn, VP & Chief Compliance Officer, Northrop Grumman

Jean-Luis Caamaño, Head of Customer Success, Credo AI

From object detection to decision-support, AI has the ability to dramatically transform government. But it is also raising new questions around areas like fairness, accountability and transparency. Without clear guidance on current and future laws, many government leaders grapple with what good AI looks like and how to put principles into action across their organizations. Carl Hahn, VP & Chief Compliance Officer, Northrop Grumman and Jean-Luis Caamaño, Head of Customer Success at Credo AI will discuss the current landscape, key challenges facing the industry, and best practices to enable public sector agencies, vendors and individuals to deliver Responsible AI at scale.


10:50 KEYNOTE: 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


Christy SheehyChristy Sheehy, PhD, Co-Founder & CEO, C.Light Technologies

Humera MalikHumera Malik, CEO, Canvas AI

The adoption of artificial intelligence has expanding rapidly. Innovators and researchers are identifying new ways to use the technology – from retina tracking to predict disease and its progression to boosting manufacturing and impacting climate change. 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
- AI for good
- And more

11:55 Boxed Luncheon Available in the Exhibit Hall

12:40 Dessert Break in the Exhibit Hall


TRACK 1: Business Outcomes & Workplace Transformation

ROOM LOCATION: Constitution B

Thursday, October 6, 2022 |1:15 - 4:30 pm ET

1:15 pm Chairperson’s Remark

Matthew James BaileyMatthew James Bailey, Founder, CEO, AIEthics.World

1:30 Practices for Understanding Your Data for Improved Business Outcomes

Richard Patterson, Chief Data Officer, Defense Security Cooperation Agency

If you can’t make sense of your data, then AI won’t be able to either. This session will provide actionable advance for better understanding your data and making it usable for AI and ML for improved business outcomes.

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

Natalie Barrett, Program Area Manager, The Johns Hopkins University Applied Physics Laboratory; Loomis Council Member

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)


Douglas GrahamDouglas Graham, Management and Program Analyst, Acquisition Program Manager, IRS

Marisa RoinestadMarisa Roinestad, Technical Project Manager, Project Manager for the Scanning-As-A-Service (SCaaS) Project, IRS

Jessica DaiseJessica Daise, Technical Project Manager, Project Manager for the Lockbox Digitalization Project, IRS

Eric BirdEric Bird, Technical Advisory, Project Manager for the Augmented Reality (AR) Project, 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

Matthew James BaileyMatthew James Bailey, Founder, CEO, AIEthics.World


TRACK 2: Risk, Resilience & Responsible AI

ROOM LOCATION: Constitution A

Thursday, October 6, 2022 |1:15 - 4:30pm ET

1:15 pm Chairperson’s Remarks

Daniel Chenok, Executive Director, IBM Center for The Business of Government


1:30 Modern Day Innovative Governance

Jonnie BradleyJonnie Bradley, Senior Program Manager for AI Strategy, Governance, & Partnership Development, Artificial Intelligence & Technology Office, U.S. Department of Energy

This discussion will delve into the use of AI in an era where there are profound concerns to ethical practices and behaviors, and how critical innovative governance is needed in today’s AI ecosystem?  In addition, the discussion will highlight the impacts of governance or the lack thereof to citizens.

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

Seth Swinton, Senior Cybersecurity Project Manager, Methodology Branch, Cybersecurity Infrastructure Security Agency

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

Ola Olude-Afolabi, PhD,  AI - PM & Administrator, DOC AI Center of Excellence - OCTO, U.S. Department of Commerce

Laura Biven, PhD, Lead, Integrated Infrastructure and Emerging Technologies, Office of Data Science Strategy (ODSS), National Institute of Health (NIH)

Carrie Gardner, Project Lead, AI Division, Carnegie Mellon University Software Engineering Institute

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

Daniel Chenok, Executive Director, IBM Center for The Business of Government



TRACK 3: Scaling and Operationalizing AI

ROOM LOCATION: Constitution B

Friday, October 7, 2022 |1:00 - 4:00pm ET

1:00 pm Chairperson’s Remarks

Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute



1:15 Democratization of Analytics

John LandersJohn Landers, Senior Solution Engineer, Alteryx Public Sector

1:40 Driving AI Application Development Through Industry Collaboration

Thomas RuoffThomas Ruoff, Methodology Branch Chief, Cybersecurity and Infrastructure and Security Agency

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.

2:05 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 Responsible AI: How to Measure, Manage and Operationalize

Susannah ShattuckSusannah Shattuck, Head of Product, Credo AI

Everyone seems to be talking about responsible AI these days—but what does “responsible” actually mean, and how should AI/ML development teams incorporate ethics into the development lifecycle? This talk will move beyond buzzword bingo to define the key features of a Responsible AI system and discuss how to measure and manage and operationalize these features during development, from design to production. Susannah Shattuck, Head of Product at Credo AI, will share best practices from the field and tactical approaches that you can begin using today.

3:05 MLOps & Operationalizing AI/ML Workloads on AWS

Ashley MillerAshley Miller, Sr. AI/ML Evangelist, AWS

Many organizations are implementing artificial intelligence and machine learning in their environments. But ML code is just a small part of the overall picture and deploying ML at scale has additional challenges. In this session we will discuss how to optimize ML workload deployments using MLOps mechanisms including foundational ML architectural terms and practices.



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

Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute



4:00 Close of AI World Government


TRACK 4: Emerging AI Technologies

ROOM LOCATION: Constitution A

Friday, October 7, 2022 |1:00 - 4:00pm ET

1:00 pm Chairperson’s Remarks

Alexis BonnellAlexis Bonnell, Emerging Technology Evangelist for Government and Strategic Business Executive, Google

1:15 Purposeful AI in National Security

Brian Drake, Federal Chief Technology Officer, Accrete AI Government

As the national security apparatus matures, it is falling into the trap of funding AI/ML projects which are achievable, but not meaningful. This talk will help government executives think about how to refocus their efforts on projects which deliver impacts against adversaries.

1:40 Utilizing Emerging AI Technologies as Part of the Digital Transformation at NASA

David Na, Lead for Cloud AIML Foundations, Information, Data & Analytics Services – Data Science Services, NASA

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. Na will share NASA’s initial approaches to ethical AI.

2:05 Few Shot and Zero Shot Learning: The Future of AI is Large Language Models (LLM)

Anil Tilbe, Scientist, Department of Veterans Affairs (VA)

Applications of Large Language Models (LLM) at the intersection of zero shot and few shot learning. Also:
1. What are LLM;
2. How Zero Shot learning was implemented at the VA; and
3. Future use cases:

  • System-for-System (SfS) for intelligence gathering
  • Text-to-Image pipeline implementations
  • AI-based Zero-Shot decisional reasonings

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 FIRESIDE CHAT: USPTO: People-powered AI for America’s Innovation Agency

Henry (Jamie) Holcombe, Chief Information Officer, United States Patent and Trademark Office (USPTO)


3:30 Applications of AI/ML for DoD Aviation Maintenance

Frank ZahiriFrank Zahiri, Engineering Lead, US Air Force
Abeezar TyebjiAbeezar Tyebji, CEO, Shipcom Wireless

Sam Ansari, CTO, Shipcom Wireless and Professor  at Data Analytics Engineering department at George Mason University


3:55 Closing Remarks

Alexis BonnellAlexis Bonnell, Emerging Technology Evangelist for Government and Strategic Business Executive, Google

4:00 Close of AI World Government