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</div> <div class="main-content"> <div id="cph1" class="container internal"> <div class="row"> </div> </div> </div> <div > <div class="sf-Long-text" ><div class="programs-section flush-top"><div class="container"><div class="row"><div class="col-sm-12 pad-bottom"><p class="pageTitle text-center">Final Agenda </p></div><div class="col-sm-12"><a href="#pk "></a><div class="keynote-header dark-blue "><a href="/program#pk "><strong>PLENARY KEYNOTE PRESENTATIONS</strong></a></div><a href="/program#pk "></a></div><div class="col-sm-6 "><a href="/program#bo "> <div class="program-track white track-one ">Business Outcomes & Workplace Transformation </div></a> </div><br class="hidden-sm hidden-md hidden-lg " /><div class="col-sm-6 "><a href="#ea "> <div class="program-track white track-two ">Emerging AI Technologies </div></a> </div></div><div class="row pad-top "><div class="col-sm-6 "><a href="#so "> <div class="program-track white track-three ">Scaling & Operationalizing AI </div></a> </div><br class="hidden-sm hidden-md hidden-lg " /><div class="col-sm-6 "><a href="#rr "> <div class="program-track white track-four ">Risk, Resilience & Responsible AI </div></a> </div><div class="col-sm-12 "><br /><hr class="home-rule " /></div></div></div></div></div> </div> <div class="main-content"> <div id="cph1" class="container internal-fw2"> <div class="row"> <div > <div class="sf-Long-text" ><p><a id="pk" data-sf-ec-immutable=""> </a></p><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;">PLENARY KEYNOTES</h2><p>ROOM LOCATION: Constitution A </p><p class="Date">Thursday, October 6, 2022 |8:10 am - 12:00 pm ET</p><p class="Session">7:00 am - 8:10 am Registration and Morning Coffee</p><p class="Session">8:10 am Chairperson’s Remarks: How AI is Enabling Resiliency in Federal Agencies</p><p class="Speaker"><img class="SpeakerFl" src="/images/librariesprovider68/agenda/22/speakers/obrien_adelaide.jpg?sfvrsn=8bc91e2a_2" />Adelaide O’Brien, Research Vice President, IDC Government Insights </p><p class="Abstract">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.</p><p class="Session">8:30 KEYNOTE: Equity & Effectiveness in AI</p><p class="Speaker"><img class="SpeakerFl" src="/images/librariesprovider68/agenda/22/speakers/aguh_chike.jpg?sfvrsn=9c6b4ab3_2" />Chike Aguh, Chief Innovation Officer, U.S. Department of Labor</p><p><br clear="all" /></p><p class="Session">8:55 KEYNOTE: <strong>Art of the possible with AWS AI</strong></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/justin-wilfred.jpg?sfvrsn=62a6d341_2" alt="Wilfred Justin" class="SpeakerFl" />Wilfred Justin, Head of Modernization, Partners, WWPS, AWS</p><p><span class="Abstract">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.</span></p><br clear="all" /><p class="Session">9:20 KEYNOTE: Building Equitable & Fair AI Driven Ecosystems</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/chaudhry_anil.jpg?sfvrsn=92194177_2" class="SpeakerFl" />Anil (Neil) Chaudhry, Director, Federal AI Implementations, U.S. General Services Administration (GSA)</p><p class="Abstract">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.</p><p><br clear="all" /></p><p class="Session">9:45 Networking Coffee Break in the Exhibit Hall</p><p class="Session">10:30 KEYNOTE: Implications of Artificial Intelligence (AI)/Machine Learning (ML) for Equal Employment Opportunity</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/keith_sonderling.jpg?sfvrsn=e20d873b_2" class="SpeakerFl" />Keith Sonderling, Commissioner, US Equal Opportunity Commission</p><p class="Abstract">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. </p><ul><li>Overview of the legal framework governing AI in the US</li><li>Key ways the US civil rights laws protect employees from discrimination by algorithm</li><li>Suggest ways that employers can reap the benefits of AI while respecting the rights of workers</li></ul><p class="Session">10:55 Scaling AI Across the Government</p><p class="Speaker"><img src="/images/default-source/speakerphotos/matthew-hoover.jpg" alt="Matthew Hoover" class="SpeakerFl" /><em>Matthew Hoover, PhD, Lead Data Scientist, Data Robot</em><br />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.</p><p> </p><p> </p><p class="Session">11:20 KEYNOTE: Ethical AI – The Age of Trust and Transparency for the Human-Machine American Dream</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/bailey_matthew_james.jpg?sfvrsn=1d9bc4c3_2" class="SpeakerFl" />Matthew James Bailey, Founder & CEO, AIEthics.World<br clear="all" /></p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/louis-barbier.jpg?sfvrsn=697a27b5_2" class="SpeakerFl" />Louis Barbier, PhD, Associate Chief Scientist, NASA </p><br clear="all" /><p class="Abstract">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.</p><p class="Abstract">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. </p><p class="Session">12:00 Boxed Luncheon Available in the Exhibit Hall</p><p class="Session">12:45 Dessert Break in the Exhibit Hall</p><p class="Date">Friday, October 7, 2022 |8:15 - 11:55 am ET</p><p class="Session">7:30 - 8:15 am Registration and Morning Coffee</p><p class="Session">8:15 Chairperson’s Remarks: Artificial Intelligence and the 21st Century Government Agency</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/kashyap_kompella.jpg?sfvrsn=3290722e_2" class="SpeakerFl" />Kashyap Kompella, CFA, Chief Analyst, RPA2AI Research</p><p><br clear="all" /></p><p class="Session">8:30 KEYNOTE: Panel Discussion: Ensuring You Have the Right People, Process, and Technology in Place to Implement Your AI Model</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/james-cooper.jpg?sfvrsn=5874f299_2" class="SpeakerFl" />Moderator: James Cooper, Professor, Director, International Legal Studies, California Western School of Law</p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/renata_miskell.jpg?sfvrsn=f969576f_2" class="SpeakerFl" />Renata Miskell, Chief Data & Analytics Officer, HHS Office of Inspector General</p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/olude-afolabi_ola.jpg?sfvrsn=b6004243_2" class="SpeakerFl" />Ola Olude-Afolabi, PhD,  AI - PM & Administrator, DOC AI Center of Excellence - OCTO, U.S. Department of Commerce</p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/smith_calvert.jpg?sfvrsn=9c99ab3e_2" class="SpeakerFl" />Calvert Smith, Director, Cloud Adoption, Center of Excellence, U.S General Services Administration (GSA)</p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/miller-ashley.jpg?sfvrsn=ea835148_2" class="SpeakerFl" alt="Ashley Miller" />Ashley Miller, Sr. AI/ML Evangelist, AWS</p><p><br clear="all" /></p><p class="Abstract">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:<br />PEOPLE: Getting leadership and communication right; exploring hiring practices for data scientists; legal and usability considerations; privacy practices.<br />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? <br />PROCESSES: Integrating ethical AI; achieving interoperability and scale.<br />PARTNERS: Deciding on build vs. buy models; sourcing and choosing the correct partner for you; understanding which platforms, tools, system, etc.</p><p class="Session">9:20 KEYNOTE: Equity & Scaling and Operationalizing AI to Protect Health and Save the Lives of At-Risk Populations in Disasters</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/finne_kristen.jpg?sfvrsn=aa461a6f_2" class="SpeakerFl" />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</p><p class="Abstract">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.</p><p class="Session">9:45 Networking Coffee Break in the Exhibit Hall</p><p class="Session">10:25 KEYNOTE: <strong>Defending Humanity: The Unintended Consequences of AI Without Governance</strong><span class="Speaker"></span><em><span class="Speaker"></span></em></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/carl-hahn.jpg?sfvrsn=418545c2_2" class="SpeakerFl" />Carl Hahn, VP & Chief Compliance Officer, Northrop Grumman</p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/jean-luis-caamano.jpg?sfvrsn=fada67ec_2" class="SpeakerFl" />Jean-Luis Caama<em>ño</em>, Head of Customer Success, Credo AI</p><br clear="all" /><p><span class="Abstract">F</span><span class="Abstract">rom 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.</span></p><p><span class="Abstract"> </span></p><p class="Session">10:50 KEYNOTE: Applying Oversight to Realize Accountable AI</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/taka-ariga-updated.jpg?sfvrsn=e8b80229_2" class="SpeakerFl" />Taka Ariga, Chief Data Scientist and Director of Innovation Lab at US Government Accountability Office</p><p class="Abstract">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.</p><p class="Session">11:15 KEYNOTE Panel Discussion: Artificial Intelligence: What’s Next?<br /><img src="/images/librariesprovider68/agenda/22/speakers/parna-sarkar.jpg?sfvrsn=bd176336_2" class="SpeakerFl" /></p><br clear="all" /><p class="Speaker">Moderated by: Parna Sarkar-Basu, CEO & Founder, Brand and Buzz Marketing</p><br clear="all" /><p class="Speaker">Panelists: </p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/christy-sheehy.jpg?sfvrsn=93994dbb_2" class="SpeakerFl" alt="Christy Sheehy" />Christy Sheehy, PhD, Co-Founder & CEO, C.Light Technologies </p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/humera-malik.jpg?sfvrsn=a9643e9_2" class="SpeakerFl" alt="Humera Malik" />Humera Malik, CEO, Canvas AI</p><br clear="all" /><p class="Abstract">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:</p><p class="Abstract">- The state of AI today<br />- AI and governance<br />- Challenges and opportunities<br />- AI for good<br />- And more</p><p class="Session">11:55 Boxed Luncheon Available in the Exhibit Hall</p><p class="Session">12:40 Dessert Break in the Exhibit Hall</p><p><br /><a id="bo" data-sf-ec-immutable=""></a></p><p class="pad-bottom"> </p><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;">TRACK 1: Business Outcomes & Workplace Transformation</h2><p>ROOM LOCATION: Constitution B </p><p class="Date">Thursday, October 6, 2022 |1:15 - 4:30 pm ET</p><p class="Session">1:15 pm Chairperson’s Remark</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/bailey_matthew_james.jpg?sfvrsn=1d9bc4c3_2" class="SpeakerFl" alt="Matthew James Bailey" />Matthew James Bailey, Founder, CEO, AIEthics.World</p><br clear="all" /><br clear="all" /><p class="Session">1:30 Practices for Understanding Your Data for Improved Business Outcomes</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/richard_patterson.jpg?sfvrsn=d540451b_2" class="SpeakerFl" />Richard Patterson, Chief Data Officer, Defense Security Cooperation Agency</p><p>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.</p><br clear="all" /><p class="Session">1:55 Assessing Employee Feedback to Inform Workplace Culture Improvements: Tips from VA</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/katerine_osatuke.jpg?sfvrsn=90d75cc1_2" class="SpeakerFl" />Katerine Osatuke, PhD, Supervisory Health Scientist/Research Director at Department of Veterans Affairs</p><p><br clear="all" /></p><p class="Abstract">During this session, the Department of Veterans Affairs will provide insights into how they are making workplace culture improvements utilizing AI capabilities. This includes:<br />1. Planning and consistently tracking which employee experience aspects are strategically important.<br />2. Sharing Data to:</p><ul><li>Provide transparency to promote trust.</li><li>Deliver the right level of feedback to the right level of leadership—to promote relevance and actionability.</li><li>Hold action planning conversations throughout the organization—to enable turning feedback into improvements.</li></ul><p class="Abstract">3. Data Use: Measuring and reporting whether employee feedback has been put to organizational action—to promote employee engagement and leadership accountability.</p><p class="Session">2:20 Inspiring Use of Artificial Intelligence (AI) in Highway Transportation</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/david_kuehn.jpg?sfvrsn=2b8836d3_2" class="SpeakerFl" />David Kuehn, Program Director, Federal Highway Administration </p><p><br clear="all" /></p><p class="Abstract">Hear the transformative steps taken to innovate process and outcomes. Journey through:</p><ul><li>Highway transportation research motivations</li><ul><li style="list-style-type:circle;">Mobility</li><li style="list-style-type:circle;">Safety</li><li style="list-style-type:circle;">Reliability</li></ul></ul><ul><li>AI in highway transportation: the state of the practice</li><ul><li style="list-style-type:circle;">Expert systems</li><li style="list-style-type:circle;">Inference across data records</li><li style="list-style-type:circle;">Computer vision for detecting and classifying objects</li></ul></ul><ul><li>AI in highway transportation: Vision for the future</li><ul><li style="list-style-type:circle;">Computer vision for detecting, classifying, and predicting actions</li><li style="list-style-type:circle;">Learning systems to support decision making</li><li style="list-style-type:circle;">Safety-assured AI for traffic control</li></ul></ul><p class="Abstract">Then discover how to contribute to the efforts</p><p class="Session">2:45 Networking Refreshment Break in the Exhibit Hall</p><p class="Session">3:25 When Your Data & AI Reveal More Than You Know</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/david_bray.jpg?sfvrsn=341ec388_2" class="SpeakerFl" />David Bray, PhD, Distinguished Fellow, Stimson Center </p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/scriffignano_anthony.jpg?sfvrsn=97483799_2" class="SpeakerFl" />Anthony Scriffignano, Senior Vice President, Chief Data Scientist, Dun & Bradstreet</p><br clear="all" /><p><span class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/natalie-barrett.jpg?sfvrsn=448bb139_2" class="SpeakerFl" />Natalie Barrett, Program Area Manager, The Johns Hopkins University Applied Physics Laboratory; Loomis Council Member</span></p><br clear="all" /><p class="Abstract">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.</p><p class="Session">3:50 Panel Discussion: Digital Transformation at IRS: Priorities, Challenges, and Opportunities for the Future</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/mitchell_winans.jpg?sfvrsn=8e8feb1c_2" class="SpeakerFl" />Moderated by: Mitchell D. Winans, Senior Advisor, Enterprise Digitalization and Case Management Office, Internal Revenue Service (IRS) </p><br clear="all" /><p class="Speaker">Panelists: </p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/douglas-graham.jpg?sfvrsn=f34da8e4_2" class="SpeakerFl" alt="Douglas Graham" />Douglas Graham, Management and Program Analyst, Acquisition Program Manager, IRS</p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/marisa-roinestad.jpg?sfvrsn=b5cce475_2" class="SpeakerFl" alt="Marisa Roinestad" />Marisa Roinestad, Technical Project Manager, Project Manager for the Scanning-As-A-Service (SCaaS) Project, IRS </p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/jessica-daise.jpg?sfvrsn=5a39719b_2" class="SpeakerFl" alt="Jessica Daise" />Jessica Daise, Technical Project Manager, Project Manager for the Lockbox Digitalization Project, IRS </p><br clear="all" /><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/eric-bird.jpg?sfvrsn=91393c7_2" class="SpeakerFl" alt="Eric Bird" />Eric Bird, Technical Advisory, Project Manager for the Augmented Reality (AR) Project, IRS</p><br clear="all" /><p class="Abstract"><br />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.</p><p class="Session">4:30 Closing Remarks</p><p><img src="/images/librariesprovider68/agenda/22/speakers/bailey_matthew_james.jpg?sfvrsn=1d9bc4c3_2" class="SpeakerFl" alt="Matthew James Bailey" /><em>Matthew James Bailey, Founder, CEO, AIEthics.World</em><br clear="all" /><a id="rr" data-sf-ec-immutable=""></a></p><p class="pad-bottom"> </p><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;">TRACK 2: Risk, Resilience & Responsible AI</h2><p>ROOM LOCATION: Constitution A</p><p class="Date">Thursday, October 6, 2022 |1:15 - 4:30pm ET</p><p class="Session">1:15 pm Chairperson’s Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/daniel-chenok.jpg?sfvrsn=c14d4e8b_2" class="SpeakerFl" />Daniel Chenok, Executive Director, IBM Center for The Business of Government</p><br clear="all" /><p class="Speaker"> </p><p class="Session">1:30 <strong>Modern Day Innovative Governance</strong></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/jonnie-bradley.jpg?sfvrsn=141537fc_2" class="SpeakerFl" alt="Jonnie Bradley" />Jonnie Bradley, Senior Program Manager <em>for </em>AI Strategy, Governance, & Partnership Development, Artificial Intelligence & Technology Office, U.S. Department of Energy</p><p class="Abstract">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.</p><br clear="all" /><p class="Session">1:55 Considerations for Explainable AI and Real-World Data in Health Policy and Practice</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/rachele_hendricks-sturrup.jpg?sfvrsn=4d75c77c_2" class="SpeakerFl" />Rachele Hendricks-Sturrup, DHSc, MSc, MA, Research Director, Real World Evidence, Duke-Margolis Center for Health Policy </p><p><br clear="all" /></p><p class="Abstract">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.</p><p class="Session">2:20 Ransomware, Defense & Resilience Strategies</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/tucker_brett.jpg?sfvrsn=b13a82be_2" class="SpeakerFl" />Brett Tucker, Technical Manager, Cyber Risk Management, Software Engineering Institute, Carnegie Mellon University</p><br clear="all" /><p class="Speaker">Seth Swinton, Senior Cybersecurity Project Manager, Methodology Branch, Cybersecurity Infrastructure Security Agency</p><p class="Abstract">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.</p><p class="Session">2:45 Networking Refreshment Break in the Exhibit Hall</p><p class="Session">3:25 Implementing Responsible, Human-Centered AI</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/smith_carol.jpg?sfvrsn=4829d67d_2" class="SpeakerFl" />Carol Smith, Senior Research Scientist, Human-Machine Interaction, AI Division, Carnegie Mellon University</p><p class="Abstract">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.</p><p class="Session">3:50 Panel Discussion: Responsible AI as an Organizational Strategy</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/ricardo-baeza.jpg?sfvrsn=a1a739b0_2" class="SpeakerFl" />Moderated by: Ricardo Baeza-Yates, Professor and Director of Research, Institute for Experiential AI, Northeastern University </p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/cansu_canca.jpg?sfvrsn=e54bf689_2" class="SpeakerFl" />Panelists: Cansu Canca, PhD, Ethics Lead & Research Associate Professor, Institute for Experiential AI, Northeastern University </p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/olude-afolabi_ola.jpg?sfvrsn=b6004243_2" class="SpeakerFl" />Ola Olude-Afolabi, PhD,  AI - PM & Administrator, DOC AI Center of Excellence - OCTO, U.S. Department of Commerce </p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/laura-biven.png?sfvrsn=639508bf_2" class="SpeakerFl" />Laura Biven, PhD, Lead, Integrated Infrastructure and Emerging Technologies, Office of Data Science Strategy (ODSS), National Institute of Health (NIH) </p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/carrie-gardner.jpg?sfvrsn=a8a57d75_2" class="SpeakerFl" />Carrie Gardner, Project Lead, AI Division, Carnegie Mellon University Software Engineering Institute</p><p><span class="Speaker"></span><br clear="all" /></p><p class="Abstract">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.</p><p class="Abstract">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.</p><p class="Session">4:30 Closing Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/daniel-chenok.jpg?sfvrsn=c14d4e8b_2" class="SpeakerFl" />Daniel Chenok, Executive Director, IBM Center for The Business of Government<a id="so" data-sf-ec-immutable=""></a></p><br clear="all" /><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;"> </h2><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;"> </h2><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;">TRACK 3: Scaling and Operationalizing AI</h2><p>ROOM LOCATION: Constitution B</p><p class="Date">Friday, October 7, 2022 |1:00 - 4:00pm ET</p><p class="Session">1:00 pm Chairperson’s Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/michael_mattarock.jpg?sfvrsn=d09db6b6_2" class="SpeakerFl" />Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute</p><p class="Session"> </p><p class="Session"> </p><p class="Session">1:15 Democratization of Analytics</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/john-landers.jpg?sfvrsn=c607d63_2" class="SpeakerFl" alt="John Landers" />John Landers, Senior Solution Engineer, Alteryx Public Sector</p><p><br clear="all" /></p><p class="Session">1:40 Driving AI Application Development Through Industry Collaboration</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/ruoff-thomas.jpg?sfvrsn=668603e7_2" class="SpeakerFl" alt="Thomas Ruoff" />Thomas Ruoff, Methodology Branch Chief, Cybersecurity and Infrastructure and Security Agency</p><p><br clear="all" /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/gary-jones.jpg?sfvrsn=9c271520_2" class="SpeakerFl" />Gary Jones, CISA CTO, US Dept of Homeland Security </p><p><br clear="all" /></p><p class="Abstract">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.</p><p class="Session">2:05 AI-Powered Applications: Establishing Mature Data Governance Practices for Transforming Teams</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/lane_bryan.jpg?sfvrsn=86fe72d5_2" class="SpeakerFl" />Bryan Lane, Chief, Business Intelligence Services, Federal Deposit Insurance Corporation (FDIC)</p><p class="Abstract">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.</p><p class="Session">2:30 Coffee Break</p><p class="Session">2:40 Responsible AI: How to Measure, Manage and Operationalize</p><p class="Speaker"><img src="/images/default-source/speakerphotos/susannah-shattuck.jpg?sfvrsn=8ce5432c_2" class="SpeakerFl" alt="Susannah Shattuck" />Susannah Shattuck, Head of Product, Credo AI</p><p class="Abstract">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.</p><p class="Session">3:05 <strong>MLOps & Operationalizing AI/ML Workloads on AWS</strong><br /></p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/miller-ashley.jpg?sfvrsn=ea835148_2" class="SpeakerFl" alt="Ashley Miller" />Ashley Miller, Sr. AI/ML Evangelist, AWS </p><p><span class="Abstract">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.</span><br /></p><p> </p><p> </p><p class="Session">3:30 Better AI Solutions with an AI Engineering Body of Knowledge</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/michael_mattarock.jpg?sfvrsn=d09db6b6_2" class="SpeakerFl" />Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute </p><p class="Abstract">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.</p><p class="Session">3:55 Closing Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/michael_mattarock.jpg?sfvrsn=d09db6b6_2" class="SpeakerFl" />Michael Mattarock, Program Development Lead, AI Division, Carnegie Mellon University Software Engineering Institute </p><p class="Session"> </p><p class="Session"> </p><p class="Session">4:00 Close of AI World Government</p><p><br /><a id="ea" data-sf-ec-immutable=""></a></p><p class="pad-bottom"> </p><h2 style="margin:2pt 0in 0in;break-after:avoid;color:#243f60;font-weight:normal;font-size:24px;">TRACK 4: Emerging AI Technologies</h2><p>ROOM LOCATION: Constitution A</p><p class="Date">Friday, October 7, 2022 |1:00 - 4:00pm ET</p><p class="Session">1:00 pm Chairperson’s Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/alexis-bonnell.jpg?sfvrsn=34921793_2" class="SpeakerFl" alt="Alexis Bonnell" />Alexis Bonnell, Emerging Technology Evangelist for Government and Strategic Business Executive, Google</p><br clear="all" /><p class="Session">1:15 Purposeful AI in National Security</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/brian-drake.jpg?sfvrsn=3f55767c_2" class="SpeakerFl" />Brian Drake, Federal Chief Technology Officer, Accrete AI Government</p><br clear="all" /><p>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.</p><p class="Session"><br /></p><p class="Session">1:40 Utilizing Emerging AI Technologies as Part of the Digital Transformation at NASA</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/david-na.jpg?sfvrsn=f0e92a90_2" class="SpeakerFl" />David Na, Lead for Cloud AIML Foundations, Information, Data & Analytics Services – Data Science Services, NASA</p><br clear="all" /><p class="Abstract">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.</p><p class="Session">2:05 Few Shot and Zero Shot Learning: The Future of AI is Large Language Models (LLM)</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/anil-tilbe.jpg?sfvrsn=1166a73d_2" class="SpeakerFl" />Anil Tilbe, Scientist, Department of Veterans Affairs (VA) </p><p class="Abstract">Applications of Large Language Models (LLM) at the intersection of zero shot and few shot learning. Also:<br />1. What are LLM;<br />2. How Zero Shot learning was implemented at the VA; and<br />3. Future use cases:</p><ul><li>System-for-System (SfS) for intelligence gathering</li><li>Text-to-Image pipeline implementations</li><li>AI-based Zero-Shot decisional reasonings</li></ul><p class="Session">2:30 Coffee Break</p><p class="Session">2:40 Metaverse for Government: Serving Citizens in the Metaverse</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/kashyap_kompella.jpg?sfvrsn=3290722e_2" class="SpeakerFl" />Kashyap Kompella, CFA, Chief Analyst, RPA2AI Research </p><p><br clear="all" /></p><p class="Abstract">What is the Metaverse?<br />- How does AI enable the Metaverse?<br />- What opportunities does it create to further your agency mission?<br />- Does it create any risks and how to mitigate them?<br /></p><p class="Session">3:05 FIRESIDE CHAT: USPTO: People-powered AI for America’s Innovation Agency</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/henry-jaime-holcomb.png?sfvrsn=215ea720_2" class="SpeakerFl" />Henry (Jamie) Holcombe, Chief Information Officer, United States Patent and Trademark Office (USPTO)</p><p><br clear="all" /></p><p class="Session"> </p><p class="Session">3:30 Applications of AI/ML for DoD Aviation Maintenance<br /></p><p><em><span class="Speaker"><span class="Speaker"><span class="Speaker"><img src="/images/default-source/speakerphotos/frank-zahiri.jpg" alt="Frank Zahiri" class="SpeakerFl" /><em><span class="Speaker">Frank Zahiri, Engineering Lead, US Air Force</span><br clear="all" /><span class="Speaker"><img src="/images/default-source/speakerphotos/abeexar-tyebji.jpg" alt="Abeezar Tyebji" class="SpeakerFl" />Abeezar Tyebji, CEO, Shipcom Wireless</span></em></span><em><br clear="all" /><span class="Speaker">Sam Ansari, CTO, Shipcom Wireless and Professor  at Data Analytics Engineering department at George Mason University</span></em></span> </span> </em> </p><em><em><p class="Session"> </p><p class="Session">3:55 Closing Remarks</p><p class="Speaker"><img src="/images/librariesprovider68/agenda/22/speakers/alexis-bonnell.jpg?sfvrsn=34921793_2" class="SpeakerFl" alt="Alexis Bonnell" />Alexis Bonnell, Emerging Technology Evangelist for Government and Strategic Business Executive, Google </p><br clear="all" /><p class="Session">4:00 Close of AI World Government</p><p class="Session"> </p><div><span style="font-family:Roboto, sans-serif;"><br /></span></div><div><span style="font-family:Roboto, sans-serif;"><br /></span></div></em></em></div> </div><div class="row" data-sf-element="Row"> <div class="col-sm-9"> <div id="Contentplaceholder2_C008_Col00" class="sf_colsIn pad-lr" data-sf-element="Column 1" data-placeholder-label="Column 1"></div> </div> <div class="col-sm-3"> <div id="Contentplaceholder2_C008_Col01" class="sf_colsIn pad-lr" data-sf-element="Column 2" data-placeholder-label="Column 2"></div> </div> </div> </div> </div> </div> <div class="main-content"> <div id="cph1" class="container internal-fw3"> <div class="row"> </div> </div> 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