Emerging Technologies: AI/ML/Blockchain/Data Management and Advanced Analytics 11:45 am-12:30 pm

1. TiE-DC GovCon Panel 11/4
Innovation, Policy and Society
Pieter De Leenheer, Ph.D.

2. 1. Technologies create new options to use / value data
2. Diffusion of data (collection, processing, sharing) responsibilities and deinstitutionalization of data control
3. Time compression of data technology- and policy cycles
Forces in the Data Sphere
2008 Financial
Crisis prompts
new data
regulation
1980 PC,
LAN
introduced
2019 Public Health
Crises will drive new
data regulations
Opioid, SARS, COVID-
2, COVID-19
Sources: De Leenheer (2019),
Sources: PwC, Pew Research
Center
How to keep pace with AI
driven value creation
opportunities whilst meeting
increasing ethical and
regulatory requirements?
• 91% lost control over
how data collected by
companies
• 70% of social media
users concerned
about surveillance
• 41.5% don’t trust AI
services (Alexa,
Betterment, ...)
• 40% concerned,
skeptical, unsure
about AI

3. • Anti-trust regulations
• Multi-platform innovation on levels of trustworthy information
retrieval, cloud computing and storage, smart contracts and
ledger technology
• Data sharing embargo and sharing protocols
• Smart contracts to scale temporal and geographical policy
changes across data value chains
• Business policy and data management education programs
Forecasting the Future of Data and Policy

4. Thank you
pdeleenheer@hbs.edu
Pieter De Leenheer