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