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MOVING “UPSTREAM” FOR GOVERNANCE
INNOVATION
David Winickoff
Senior Policy Analyst
Division of Science and Technology Policy
OECD Directorate for Science, Technology and Innovation
Global Conference on Governance Innovation
OECD
13 January 2020
2
create the conditions for
the development and diffusion
of trusted and trustworthy technology
for governance and for people.
Disruptive to economy and
society
(e.g. Uber)
Pacing. Rapidly evolving with
unclear impacts
(e.g. AI)
Governance Challenges
Enabling larger areas of work
(e.g. NPR)
Misfits existing legal
categories
(e.g. neurotech)
Goals and challenges for governance innovation
The “Collingridge Dilemma”
Regulate later
• changing course may
become expensive, difficult
and time- consuming
because tech is built in
• “End-of-pipe” solutions
might be too late
Regulate earlier
• full consequences of the
technology might not be
fully apparent
• danger of misguided or
inadequate regulation
• unnecessary regulation can
constrain innovation
“Code is law” (Lessig) = technology is built-in governance
3
• New forms of energy, mobility and IT solutions,
blending technology creation in end-use environments
“Upstream” model to governance that engages
the innovation process itself
Test-beds and living laboratories
• Co-develops, tests and demonstrates
technology and governance mechanisms
European Energy Forum in Berlin
4
OECD soft law
5
Brain–computer interfaces (BCIs)
• Prevention and neuronal rehabilitation for
serious injuries; chips with data feeds,
Internet of Things; behavior control?
Brain imaging technologies
new measures for diagnosis / outcome in
chronic pain; use/misuse in medical and
legal settings to predict behavior
OECD Recommendation on Responsible
Innovation in Neurotechnology
Importance of biotechnology, biometrics, and
“technologies of the human” for governance
innovation
• Key ethical, legal and social implications
• Diverse ways to leverage neurotech and other
biometrics, especially in health, insurance, security,
biosafety regulation
• This regards careful planning and architecture
Prioritising safety assessment
Promoting inclusivity
Enabling societal deliberation
Enabling capacity of oversight
and advisory bodies
Safeguarding personal brain
data and other information
Promoting cultures of
stewardship and trust across
the public and private sector
Anticipating and monitoring
potential unintended use
and/or misuse.
Anticipation
• Update the arts of foresight and technology assessment
• Building governance into systems – engineering and design standards
• Soft law tools to avoid regulatory lock-in but to guide
Future directions in upstream governance:
building cases and experiments in…
Inclusivity
• multi-stakeholder models to collectively shape technological
developments
• New inter-disciplinarity in R & D across natural, engineering, social,
humanities, policy science
• Interface with the private sector on governance
Directionality
• Steering technological governance through societal deliberation
6

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David Winickoff, Session 1

  • 1. MOVING “UPSTREAM” FOR GOVERNANCE INNOVATION David Winickoff Senior Policy Analyst Division of Science and Technology Policy OECD Directorate for Science, Technology and Innovation Global Conference on Governance Innovation OECD 13 January 2020
  • 2. 2 create the conditions for the development and diffusion of trusted and trustworthy technology for governance and for people. Disruptive to economy and society (e.g. Uber) Pacing. Rapidly evolving with unclear impacts (e.g. AI) Governance Challenges Enabling larger areas of work (e.g. NPR) Misfits existing legal categories (e.g. neurotech) Goals and challenges for governance innovation
  • 3. The “Collingridge Dilemma” Regulate later • changing course may become expensive, difficult and time- consuming because tech is built in • “End-of-pipe” solutions might be too late Regulate earlier • full consequences of the technology might not be fully apparent • danger of misguided or inadequate regulation • unnecessary regulation can constrain innovation “Code is law” (Lessig) = technology is built-in governance 3
  • 4. • New forms of energy, mobility and IT solutions, blending technology creation in end-use environments “Upstream” model to governance that engages the innovation process itself Test-beds and living laboratories • Co-develops, tests and demonstrates technology and governance mechanisms European Energy Forum in Berlin 4 OECD soft law
  • 5. 5 Brain–computer interfaces (BCIs) • Prevention and neuronal rehabilitation for serious injuries; chips with data feeds, Internet of Things; behavior control? Brain imaging technologies new measures for diagnosis / outcome in chronic pain; use/misuse in medical and legal settings to predict behavior OECD Recommendation on Responsible Innovation in Neurotechnology Importance of biotechnology, biometrics, and “technologies of the human” for governance innovation • Key ethical, legal and social implications • Diverse ways to leverage neurotech and other biometrics, especially in health, insurance, security, biosafety regulation • This regards careful planning and architecture Prioritising safety assessment Promoting inclusivity Enabling societal deliberation Enabling capacity of oversight and advisory bodies Safeguarding personal brain data and other information Promoting cultures of stewardship and trust across the public and private sector Anticipating and monitoring potential unintended use and/or misuse.
  • 6. Anticipation • Update the arts of foresight and technology assessment • Building governance into systems – engineering and design standards • Soft law tools to avoid regulatory lock-in but to guide Future directions in upstream governance: building cases and experiments in… Inclusivity • multi-stakeholder models to collectively shape technological developments • New inter-disciplinarity in R & D across natural, engineering, social, humanities, policy science • Interface with the private sector on governance Directionality • Steering technological governance through societal deliberation 6