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TO REGULATE OR NOT TO REGULATE
Opening the AI Black Box for Parliaments
Dr. Fotis Fitsilis
Scientific Service, Hellenic Parliament
June 29, 2021
1
Line of thoughts
Motivation
ParlTech
AI in Parliament
Why regulation?
Summary and outlook
2
What's the Buzz?
Systemic digitalization
Emerging technologies
Institutional imbalance
Is AI a threat for parliament?
Counteractions and regulations
3
“emerging technologies that fully or partially
automate or even advance processes of
parliamentary nature”+
Analogy to GovTech and FinTech
Not a single technology
Parliamentary hype cycle
ParlTech
4
+Koryzis, Dalas Spiliotopoulos, Fitsilis (2021)
ParlTech:Transformation Framework for the
Digital Parliament. BDCC 5(1).
Parliamentary hype cycle
5
Interna corporis
HeP: ~1400 tasks (~300 competencies)
220+ possible use cases of AI
Match user needs with technology trends
Parameters: priority vs. relevance (equiv. to PHC)
Cross-sectoral / inter-disciplinary support
6
2021World e-Parliament Report (forthcoming):
10% of parliaments make use of AI (?)
Finnish Parliament: Committee for the Future
Interviewing of AI personae
Project December: driven by GPT-3 model+
Goals: reportedly UN Agenda2030, significance of AI (!)
AI: the Eduskunta use case
7
+ Fitsilis (forthcoming) AI in Parliaments -
PreliminaryAnalysis of the Eduskunta
Experiment.
Autoregressive language model
Produces human-like text
175 billion parameters
Essentially a black-box system
Customisable at the front end
Not designed to answer semantic/ethical questions
To expect so is science fiction+
GPT-3 basics
8
+ Floridi and Chiriatti, 2020
Research directions
Known AI-related challenges
ethics, bias, legal, know-how & more….
Parliaments sufficiently equipped to absorb
ParlTech?
Institutional prerequisites
Possibilities for counteraction
Regulation (inter-institutional and/or stand alone)
9
Our current research on AI
10
Access to beta-test OpenAI's GPT-3 API
Access to Project December API
Cooperation with leading GR and int’l institutions
Development of AI use cases
Regulation of advanced algorithms+
11
+ Fitsilis (2019)
Regulatory dimensions (ind.):
Level of regulation
Degree of regulation
Joint/stand-alone action
Legal grounds
Standardization process
Level and legal grounds of regulations
Boundary conditions
Turning the AI black-box
into a white-box Digital strategy
User-driven development
In-house regulations
Code of conduct
Transparency & trust
ExplainableAI
12
Summary & outlook
The difficult path forward
Lots of hype around AI
Not a Artificial General intelligence
It does what it does
ParlTech: Uncertain use cases / lack of a killer app
Cooperative action necessary
Determination of regulatory parameters
13
Contact & disclaimer
www: fitsilis.gr
E-mail: fitsilisf@parliament.gr
The information and views set out in this presentation are only those of the author
and do not necessarily reflect the official opinion of the Hellenic Parliament
14

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To Regulate or not to Regulate - Opening the AI Black Box for Parliaments

  • 1. TO REGULATE OR NOT TO REGULATE Opening the AI Black Box for Parliaments Dr. Fotis Fitsilis Scientific Service, Hellenic Parliament June 29, 2021 1
  • 2. Line of thoughts Motivation ParlTech AI in Parliament Why regulation? Summary and outlook 2
  • 3. What's the Buzz? Systemic digitalization Emerging technologies Institutional imbalance Is AI a threat for parliament? Counteractions and regulations 3
  • 4. “emerging technologies that fully or partially automate or even advance processes of parliamentary nature”+ Analogy to GovTech and FinTech Not a single technology Parliamentary hype cycle ParlTech 4 +Koryzis, Dalas Spiliotopoulos, Fitsilis (2021) ParlTech:Transformation Framework for the Digital Parliament. BDCC 5(1).
  • 6. Interna corporis HeP: ~1400 tasks (~300 competencies) 220+ possible use cases of AI Match user needs with technology trends Parameters: priority vs. relevance (equiv. to PHC) Cross-sectoral / inter-disciplinary support 6
  • 7. 2021World e-Parliament Report (forthcoming): 10% of parliaments make use of AI (?) Finnish Parliament: Committee for the Future Interviewing of AI personae Project December: driven by GPT-3 model+ Goals: reportedly UN Agenda2030, significance of AI (!) AI: the Eduskunta use case 7 + Fitsilis (forthcoming) AI in Parliaments - PreliminaryAnalysis of the Eduskunta Experiment.
  • 8. Autoregressive language model Produces human-like text 175 billion parameters Essentially a black-box system Customisable at the front end Not designed to answer semantic/ethical questions To expect so is science fiction+ GPT-3 basics 8 + Floridi and Chiriatti, 2020
  • 9. Research directions Known AI-related challenges ethics, bias, legal, know-how & more…. Parliaments sufficiently equipped to absorb ParlTech? Institutional prerequisites Possibilities for counteraction Regulation (inter-institutional and/or stand alone) 9
  • 10. Our current research on AI 10 Access to beta-test OpenAI's GPT-3 API Access to Project December API Cooperation with leading GR and int’l institutions Development of AI use cases
  • 11. Regulation of advanced algorithms+ 11 + Fitsilis (2019) Regulatory dimensions (ind.): Level of regulation Degree of regulation Joint/stand-alone action Legal grounds Standardization process Level and legal grounds of regulations
  • 12. Boundary conditions Turning the AI black-box into a white-box Digital strategy User-driven development In-house regulations Code of conduct Transparency & trust ExplainableAI 12
  • 13. Summary & outlook The difficult path forward Lots of hype around AI Not a Artificial General intelligence It does what it does ParlTech: Uncertain use cases / lack of a killer app Cooperative action necessary Determination of regulatory parameters 13
  • 14. Contact & disclaimer www: fitsilis.gr E-mail: fitsilisf@parliament.gr The information and views set out in this presentation are only those of the author and do not necessarily reflect the official opinion of the Hellenic Parliament 14