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ATARC Artificial Intelligence and Data Analytics Virtual Summit

May 4, 2021, 1:30 - 3:30 PM ET | 2.0 CPE Credits Available for this Event***
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Agenda

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1:30 PM

Introduction

Kiersten Patton

Kiersten Patton

Working Group Program Manager, ATARC

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1:30 PM

Visionary Keynote

Gregory Pappas

Gregory Pappas

Associate Director for National Surveillance

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1:45 PM

AI Policy Introduction

Ken Farber

Ken Farber

Solutions Architect - AI/ML, TekSynap

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1:45 PM

AI Policy: Implementing Throughout the Federal Government

In order to realize the benefits of Artificial Intelligence and Data Analytics (AIDA) are to be achieved by the United States, the U.S. federal government will need to establish and enforce policies to ensure the technology is ethically, effectively, and efficiently created and implemented. There are currently more than 20 separate AI policy, ethics, and technical working groups scattered among various federal government agencies. Is it possible to ensure that all areas of AI policy are effectively addressed, with the accountability and transparency that U.S. citizens are due?

Please join this panel discussion on approaches to mitigating the risk. We’ll discuss a framework that identifies all categories of policy related to AIDA and provides recommendations for assigning responsibility for each area of AI policy to an identified governmental organization, along with a recommendation for the scope over which each organization’s policies are likely to be applied and enforced. Can such a framework support senior government leaders in:

a) ensuring that all AIDA policies have accountable organizations responsible for the policy formulation and enforcement, and
b) ensuring that the resulting policies are aligned to the values and priorities of the American people, are mutually consistent, and collectively complete?

Gregory Edwards, Ph.D.

Gregory Edwards, Ph.D.

Senior Technical Advisor, Federal Emergency Management Agency

Nathan Manzotti

Nathan Manzotti

Director, Data & Analytics, Centers of Excellence, General Services Administration

Ed Mclarney

Ed Mclarney

Digital Transformation Lead for Artificial Intelligence and Machine Learning,National Aeronautics and Space Administration

Elanchezhain Sivagnanam

Elanchezhain Sivagnanam

Chief Architect,National Science Foundation

Rob Albritton

Rob Albritton

Senior Director, oLabs AI Center of Excellence, Octo

Moderator: Kathleen Walch

Moderator: Kathleen Walch

Managing Partner / Principal Analyst, Cognilytica

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2:35 PM

Emerging Technology Talk

Machine Learning in Motion

The ability to make sense of the world in real-time has huge implications for forward learning organizations. Instead of waiting for data to be collected, aggregated, and manicured Confluent Kafka enables organization the ability to build, and deploy real-time machine learning solutions at scale. Confluent Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Todd Boetticher

Todd Boetticher

Federal Solutions Architect, Confluent

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2:50 PM

AI Guidebook Introduction

Yvonne Cole

Yvonne Cole

Metrics & Analysis Lead,Federal Electronic Health Record Modernization

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2:50 PM

AI Guidebook: Use and Importance Throughout the Federal Government

If the benefits of Artificial Intelligence (AI) are to be achieved by the United States, federal agencies will need to follow policies and implement practices, methods, and processes to ensure the technology is ethically, effectively, and efficiently created and implemented. There are currently dozens of AI projects underway across the federal government, each of which is following policies and standards according to its charter, local governance, and management oversight. Centralizing and curating standards, best practices, and lessons learned would seem to present significant benefit to these agencies and practitioners, yet doing so presents its own technical, managerial, governance, and cultural challenges. Is it worth the effort, and if so, what are the key considerations to keep in mind as we do so?

Gregory Pappas

Gregory Pappas

Associate Director for National Surveillance

Bryan Lane

Bryan Lane

Director, Data & Artificial Intelligence,General Services Administration

Scott Beliveau

Scott Beliveau

Branch Chief of Advanced Analytics ,United States Patent and Trademark Office

Josh Gillmore

Josh Gillmore

Principal Solution Engineer & AI Evangelist, Public Sector, Tableau

Moderator: Ronald Schmelzer

Moderator: Ronald Schmelzer

Managing Partner and Principle Analyst, Cognilytica

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3:30 PM

Closing Remarks

Kiersten Patton

Kiersten Patton

Working Group Program Manager, ATARC

Watch on-demand:

Zoom for Government enables ATARC remote collaboration opportunities through its cloud platform for video and audio conferencing, chats and webinars across all devices. Allowing for individuals from all areas of government, industry and academia to communicate directly.

*** ATARC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org. Program Level: Beginner, no prerequisites required. Advance preparation: none. Delivery Method: Group Internet Based. Field of Study: Information Technology. Registration #140762. In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour. Refund, cancellation and complaint resolution policy