TiE-DC GovCon Panel 11/4
Innovation, Policy and Society
Pieter De Leenheer, Ph.D.
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
• 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
Thank you
pdeleenheer@hbs.edu
Pieter De Leenheer

TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Management and Advanced Analytics

  • 1.
    TiE-DC GovCon Panel11/4 Innovation, Policy and Society Pieter De Leenheer, Ph.D.
  • 2.
    1. Technologies createnew 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.