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