I will be attending the artificial intelligence & data analytics conference hosted by ATARC and MITRE at the Marriott Metro Center on October 24th.

Register for the one-day educational event and explore Artificial Intelligence & Data Analytics….arrive at 7:30AM for networking, and stay for the evening reception.

Location

775 12th St NW, Washington, DC 20005

Agenda Highlights

9AM Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) has emerged as a new, innovative approach for solving challenging problems that we encounter in practice, and as an enabler of disruptive innovations and smarter world. AI’s renaissance is driven by recent complementary developments, including major advances in the AI arena, realistic expectations, and recent success in its applications. AI is also raising some major concerns, real and perceived. Nevertheless, AI is trending to become a new normal and is increasingly being adopted in many applications despite its concerns and limitations. This panel will examine the new realities of AI in the federal space.

10:30AM Ask the CIO Live with Jason Miller – Bridging the Data Analytics Gap

As a result of the Open, Public, Electronic and Necessary, (OPEN) Government Data Act that became law, Chief Data Officers (CDOs) are now mandated. How can CDOs bridge the gap between other agencies and the Office of Management and Budget (OMB) regarding best practices on how to use agency data?

1:45 PM Mitre Afternoon Breakout Sessions

Collaboration Session 1: Human-Centered Design Patterns for Artificial Intelligence (AI) and Machine Learning (ML)

This collaboration session will examine the use of ML in the information extraction process and how organizations use high quality/semantic data to drive ML and improve the way in which they derive reasoning from data

Collaboration Session 2: Blockchain-managed Data

Applications using blockchain and related trends showing promise for government use. Among these blockchain topics, Identity and Blockchain (Specifically Self-Sovereign identity for returning data ownership to data subjects); applications of blockchain for global customs tracking. (such as guaranteeing customs enforcement, tracking sensitive materials, or even tracking immigrants and refugees from various countries); blockchain for cryptocurrency (which we understand the Treasury is hoping to use for improved grants payment tracking and management)

Collaboration Session 3: AI-Assisted Healthcare and Health-Related Data: Challenges and Roadblocks

Emphasis would be on the societal and technical limitations of artificial intelligence in systems and applications. We anticipate discussion of data interoperability, PII, etc.; evolution of research, commercial products and applications involving DNA, and other personal data commercialization (per Bruce Schneier 2015 and Shoshana Zuboff’s 2019 book on Surveillance Capitalism). Further topics include impacts and implications for government use or protections of personal data including biometrics, facial recognition, the use of DNA and ‘genetic genealogy’ as evidence in legal proceedings

Scope of Standard

This standard identifies the requirements for using shared analytics over secured and unsecured networks. It establishes a consistent method of using an overarching interoperability framework to utilize one or more disparate data systems for analytic purposes without an analytic user having explicit access to or sharing the data within these systems.

Why Get Involved

This standard allows for a high assurance method of sharing access to information for analysis without moving data beyond firewall protection. It facilitates sharing virtual access to aggregate data without the need for direct access to personal health information (PHI), personally identifiable information (PII), or other sensitive data. The standard supports a scenario where an entity (institution and/or technology) with an analytic might wish to analyze data stored at another entity (institution and/or technology) within appropriate cyber security constraints.

Who Should Participate

Stakeholders for this standard include any organization that collects, analyzes, and shares data. This can include:

• Government agencies such as:

  • Department of Defense (DoD) and Department of Veterans Affairs (VA) Interagency Program Office (IPO)

  • Defense Health Agency (DHA)

  • Veteran Health Administration (VHA)

  • Food and Drug Administration (FDA)

  • National Institutes of Health (NIH)

• Industry groups and academic organizations that would benefit from virtual access to disparate data sets from other entities

How to Participate

For more information about the IEEE P2795TM standard project and kickoff meeting, please send an email addressed to both Dr. Cj Rieser at cjrieser@ieee.org and John Griffith at griffith@mitre.org.

Meeting Information

The IEEE P2795™ kick-off meeting will be held on Thursday, May 9th at 11am ET.

When:

• Thursday, May 9th, 11am to 2pm

  • Please arrive at 10:30am for badging

Where:

• MITRE 4 Building, Room 3J101
  7596 Colshire Drive
  McLean, Virginia, 22102

Note: Due to security requirements, please indicate plans to attend the meeting in-person at least two weeks in advance when completing event registration so that badges and parking access at MITRE can be arranged. Instructions on how to attend remotely using iMeet will be provided closer to the meeting date for those who register for the event