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11th Samos Summit on ICT-Enabled Governance
28 June 2021
Gianluca C. Misuraca
Governing Algorithms
Perils and powers of AI in the public sector
Senior Research Associate, Politecnico di Milano
Associate Research Fellow, Danube University Krems
Outline
1. Preamble: from AI-Watch to shaping AI policy at global level
2. Navigating through the Governance “of, with and by” AI
3. Watch out what’s next: digital sovereignty and AI Diplomacy!
Outline
1. Preamble: from AI-Watch to shaping AI policy at global level
2. Navigating through the Governance “of, with and by” AI
3. Watch out what’s next: digital sovereignty and AI Diplomacy
Samos, in the heart of civilization & volcanoes…
My personal journey on Digital Governance,
through Innovation & Foresight
The EU policy agenda for Human-centric AI
(before the AI Act…)
• "Building Trust in Human-Centric Artificial Intelligence"
COM (8.04.2018) & AI Declaration (10.4.2018)
• "Maximising the benefits for AI in Europe" COM
(25.4.2018) & Coordinated Action Plan "AI Made in
Europe" (07.12.2018) establishing the AI-Watch
• High Level Expert Group on AI - Ethics Guidelines &
Policy & Investment Recommendations for Trustworthy AI
• 2020 Strategy on Shaping Europe’s digital future
 White paper on AI – A European approach to excellence & trust
COM(2020) 65 final, 19/02/2020
 A European Strategy for Data COM(2020) 66 final, 19/02/2020
 The Data Governance Act, COM(2020) 767 final, 25/11/2020
1. High level of heterogeneity of AI use across EU and unclear public value created
2. Search for “best practices”: learn from success stories and replicate / scale out
3. Beyond “ever-piloting”: ensure the path to institutionalise AI into mainstream services
4. Little evidence of what works and what is actually threatening services quality
5. Varying scope and depth of strategies to develop and adopt AI for the public sector
6. Innovative Public Procurement & GovTech crucial for adopting AI solutions
7. Governance “of, with & by” AI: harnessing the multiple role of AI for the public sector
Déjà vu - Where we stand (still today)
on AI for the public sector in the EU ?
Outline
1. Preamble: from AI-Watch to shaping AI policy at global level
2. Navigating through the Governance “of, with and by” AI
3. Watch out what’s next: digital sovereignty and AI Diplomacy!
• AI powered systems are integral part of many high-impact government decisions
• mainstream use of ADMS to support the provision of social benefit entitlements,
often with a lack of quality data and poor algorithm accuracy
• proliferation of FRS in public spaces, causing unease and often unnecessary
surveillance and human rights breaches, especially in non-democratic regimes
• Covid-19 outbreak exacerbated the threats AI systems pose further
• governments had to quickly reorient resources to adopt new, fully digital ways to carry
out administrative work and deliver public services with the risks of mishandling data
protection rules (e.g. to create contact-tracing apps and tools for early detection of
specific, real or expected, citizens’ behaviours)
• but in reality this occurred in most public sector applications of AI even before Covid-
19 piled more pressure onto government administrations
2020…
a year with more questions than answers
• High potential for improving the quality of services by processing huge
amounts of data, supporting public officials in decision-making processes and
providing tailor-made applications and customised solutions to citizens
• Risks of crystallising dysfunctional systems, intensifying asymmetries and
penalising citizens in vulnerable situations
• Discrimination "by default: AI can enable better data collection and help generate
knowledge and solutions by applying advanced predictive analysis, but it also tends
to be invasive and can often further intensify social prejudices
• The threats of ''black-boxing'' effect, or navigating through false positives and false
negatives: Predictive algorithms are prone to error, and there are examples of
harmful use that can lead to creating paradoxes in control systems and increase the
dangers of mass surveillance
Emerging benefits & risks of the
use of AI in the public sector
“the obligation to protect citizens from potential algorithmic
harms is at odds with the temptation to increase efficiency and
enhance quality of digital services”, [Misuraca, DFS, 2021]
• Governance of AI: introducing AI into the public sector
must not override existing governance mechanisms and
institutional barriers need to be addressed
• Governance with AI: humans should remain in control
of a technology that reinforces human capacity,
safeguarding human rights and deploying AI ethically
• Governance by AI: the true power and risk of AI use in
the public sector emerge when human decision makers
would surrender to the “Superhuman capacities” of AI
Governance “of, with & by” AI
Policy-maker’s dilemma in the digital age
https://digitalfuturesociety.com/report/governing-algorithms
How strong are EU democratic
antibodies in the age of AI?
• Tracing “ghetto” models for children at risk
• The Gladsaxe model in Denmark
• Use - and abuse - of Facial Recognition Systems
• FRS for fugitive child robbers in Buenos Aires and the
proliferation of systems to monitor citizens behaviors, from
London and Paris to Brazil and Uruguay, for example…
• From fraud detection to government resignation
• Systeem Risico Indicatie (SyRi) and the Fraude
Signalering Voorziening (FSV) in The Netherland
• To grade or not to grade: The A-level disgrace
• The Ofqual grading algorithm system in the UK
The rise of the known unknown
in the Digital Welfare State
• Computer says no: nudging social service paths
• RPA for welfare applications in Trelleborg, Sweden
• Algorithmic profiling: the new glass ceiling
• The ArbeitsMarktService (AMS) in Austria and
the Powiatowe Urzędy Pracy (PUP) in Poland
• Beware of techno-solutionism: avoid thinking of AI as some sort of super-
agent able to do more or less everything
• Be suspicious of ethical shortcuts: if superficially handled, AI systems may
infringe upon the principles of privacy and data protection
• Adopt a public value perspective: focusing on the effective implementation
of AI to address the complex challenges government must solve
• Be ready to handle disruption: experimenting with AI considering both
tangible changes in procedures, as well as a ‘cognitive restructuring’
• Design new models of governance: rethink how services are delivered,
data is managed, and the way algorithmic decision-making is implemented
Lessons learned: turning
away from dystopian futures
Outline
1. Preamble: from AI-Watch to shaping AI policy at global level
2. Navigating through the Governance “of, with and by” AI
3. Watch out what’s next: digital sovereignty and AI Diplomacy!
European Digital sovereignty and global AI
Diplomacy: two sides of the same coin!
• Policy-makers are faced by a difficult dilemma:
“the obligation to protect citizens from potential algorithmic
harms is at odds with the temptation to increase the efficiency
and enhance the quality of digital services delivery”
• In other words: to govern AI while governing with and by AI !
Misuraca, (2021), Governing Algorithms, Digital Future Society
When negative side effects offset the risks avoided, precaution
can be turned on its head: it is precautionary not to intervene!
• “Like the Investiture Controversy affected all people,
no matter whether religious or not, whoever will win the
fight for digital sovereignty will determine the lives of all
people on both sides of the digital divide”
Floridi, (2020), The Fight for Digital Sovereignty: What It Is, and Why It Matters
Sunstein, 2005, The Law of Fear
Repetita Juvant
Turning the EU into the global hub for human-centric AI
(after the AI Act…)
• The combination of the AI regulation and Coordinated Plan
will make sure that Europeans can trust what AI has to offer
 The regulation proposes proportionate and flexible rules to address the
specific risks posed by AI systems and set the highest standard worldwide
 The Plan outlines the necessary policy changes and investment at Member
States level to strengthen Europe's leading position in the development of
human-centric, sustainable, secure, inclusive and trustworthy AI
• 21st April 2021 – The EU adopt the AI Package
 Regulation on AI - COM(2021) 206 final 2021/0106 (COD)
 Review of the EU Coordinated Plan on AI - COM(2021) 205 final
Composing a Verdi symphony for leading
the Digital Decade in the age of AI?
European Parliament’s Special Committee on
Artificial Intelligence in the Digital Age - AIDA
• Assess the future impact of AI on the EU economy
• Investigate the challenge of deploying AI and its contribution
to business value and economic growth
• Analyse the approach of third countries and their contribution
to complementing EU actions
• Evaluate the EC strategy on Shaping Europe’s digital future
• Define a roadmap on ‘A Europe fit for the digital age’
• Defining an OSS AI assessment policy / methodology to determine which
public services are appropriate for the (experimental) use of OSS AI systems
• Promoting GovTech and CivicTech ecosystems
• Facilitating good quality data access for public institutions
• Supporting public organisations as potential OSS AI producers
• Using public procurement to encourage OSS AI digital solutions
• Stimulating OSS innovation ecosystems to accelerate AI development and use
• Creating opportunities for strengthening the sharing of OSS data and analytical
tools across communities of research and practice
Challenges and limits of OSS-AI
Recommendations
Source: Theben, A., et al., (2021)
for the European Parliament,
AIDA Committee
Areas of concern
• AI’s role in the Sino-American competition
• AI for authoritarian control & AI nationalism
• AI’s contribution to the rise in power of the private sector
• AI in the military and defence realmArtificial General Intelligence (AGI)
Recommendations
• Establish a European Security Commission on AI
• Establish a European research centre focused on AI-related questions
• Work closely with the US & Keep focus on ethical and trustworthy AI
• Encourage Member States to publish military AI strategies
AI Diplomacy
How AI can change the global balance of power?
Franke, U., (2021) for the European
Parliament, AIDA Committee
Watch out what’s next!
AI4GOV Master
Thank you
gianlucacarlo.misuraca@polimi.it

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Governing algorithms – perils and powers of ai in the public sector1(1)

  • 1. 11th Samos Summit on ICT-Enabled Governance 28 June 2021 Gianluca C. Misuraca Governing Algorithms Perils and powers of AI in the public sector Senior Research Associate, Politecnico di Milano Associate Research Fellow, Danube University Krems
  • 2. Outline 1. Preamble: from AI-Watch to shaping AI policy at global level 2. Navigating through the Governance “of, with and by” AI 3. Watch out what’s next: digital sovereignty and AI Diplomacy!
  • 3. Outline 1. Preamble: from AI-Watch to shaping AI policy at global level 2. Navigating through the Governance “of, with and by” AI 3. Watch out what’s next: digital sovereignty and AI Diplomacy
  • 4. Samos, in the heart of civilization & volcanoes…
  • 5. My personal journey on Digital Governance, through Innovation & Foresight
  • 6. The EU policy agenda for Human-centric AI (before the AI Act…) • "Building Trust in Human-Centric Artificial Intelligence" COM (8.04.2018) & AI Declaration (10.4.2018) • "Maximising the benefits for AI in Europe" COM (25.4.2018) & Coordinated Action Plan "AI Made in Europe" (07.12.2018) establishing the AI-Watch • High Level Expert Group on AI - Ethics Guidelines & Policy & Investment Recommendations for Trustworthy AI • 2020 Strategy on Shaping Europe’s digital future  White paper on AI – A European approach to excellence & trust COM(2020) 65 final, 19/02/2020  A European Strategy for Data COM(2020) 66 final, 19/02/2020  The Data Governance Act, COM(2020) 767 final, 25/11/2020
  • 7. 1. High level of heterogeneity of AI use across EU and unclear public value created 2. Search for “best practices”: learn from success stories and replicate / scale out 3. Beyond “ever-piloting”: ensure the path to institutionalise AI into mainstream services 4. Little evidence of what works and what is actually threatening services quality 5. Varying scope and depth of strategies to develop and adopt AI for the public sector 6. Innovative Public Procurement & GovTech crucial for adopting AI solutions 7. Governance “of, with & by” AI: harnessing the multiple role of AI for the public sector Déjà vu - Where we stand (still today) on AI for the public sector in the EU ?
  • 8. Outline 1. Preamble: from AI-Watch to shaping AI policy at global level 2. Navigating through the Governance “of, with and by” AI 3. Watch out what’s next: digital sovereignty and AI Diplomacy!
  • 9. • AI powered systems are integral part of many high-impact government decisions • mainstream use of ADMS to support the provision of social benefit entitlements, often with a lack of quality data and poor algorithm accuracy • proliferation of FRS in public spaces, causing unease and often unnecessary surveillance and human rights breaches, especially in non-democratic regimes • Covid-19 outbreak exacerbated the threats AI systems pose further • governments had to quickly reorient resources to adopt new, fully digital ways to carry out administrative work and deliver public services with the risks of mishandling data protection rules (e.g. to create contact-tracing apps and tools for early detection of specific, real or expected, citizens’ behaviours) • but in reality this occurred in most public sector applications of AI even before Covid- 19 piled more pressure onto government administrations 2020… a year with more questions than answers
  • 10. • High potential for improving the quality of services by processing huge amounts of data, supporting public officials in decision-making processes and providing tailor-made applications and customised solutions to citizens • Risks of crystallising dysfunctional systems, intensifying asymmetries and penalising citizens in vulnerable situations • Discrimination "by default: AI can enable better data collection and help generate knowledge and solutions by applying advanced predictive analysis, but it also tends to be invasive and can often further intensify social prejudices • The threats of ''black-boxing'' effect, or navigating through false positives and false negatives: Predictive algorithms are prone to error, and there are examples of harmful use that can lead to creating paradoxes in control systems and increase the dangers of mass surveillance Emerging benefits & risks of the use of AI in the public sector
  • 11. “the obligation to protect citizens from potential algorithmic harms is at odds with the temptation to increase efficiency and enhance quality of digital services”, [Misuraca, DFS, 2021] • Governance of AI: introducing AI into the public sector must not override existing governance mechanisms and institutional barriers need to be addressed • Governance with AI: humans should remain in control of a technology that reinforces human capacity, safeguarding human rights and deploying AI ethically • Governance by AI: the true power and risk of AI use in the public sector emerge when human decision makers would surrender to the “Superhuman capacities” of AI Governance “of, with & by” AI Policy-maker’s dilemma in the digital age https://digitalfuturesociety.com/report/governing-algorithms
  • 12. How strong are EU democratic antibodies in the age of AI? • Tracing “ghetto” models for children at risk • The Gladsaxe model in Denmark • Use - and abuse - of Facial Recognition Systems • FRS for fugitive child robbers in Buenos Aires and the proliferation of systems to monitor citizens behaviors, from London and Paris to Brazil and Uruguay, for example… • From fraud detection to government resignation • Systeem Risico Indicatie (SyRi) and the Fraude Signalering Voorziening (FSV) in The Netherland
  • 13. • To grade or not to grade: The A-level disgrace • The Ofqual grading algorithm system in the UK The rise of the known unknown in the Digital Welfare State • Computer says no: nudging social service paths • RPA for welfare applications in Trelleborg, Sweden • Algorithmic profiling: the new glass ceiling • The ArbeitsMarktService (AMS) in Austria and the Powiatowe Urzędy Pracy (PUP) in Poland
  • 14. • Beware of techno-solutionism: avoid thinking of AI as some sort of super- agent able to do more or less everything • Be suspicious of ethical shortcuts: if superficially handled, AI systems may infringe upon the principles of privacy and data protection • Adopt a public value perspective: focusing on the effective implementation of AI to address the complex challenges government must solve • Be ready to handle disruption: experimenting with AI considering both tangible changes in procedures, as well as a ‘cognitive restructuring’ • Design new models of governance: rethink how services are delivered, data is managed, and the way algorithmic decision-making is implemented Lessons learned: turning away from dystopian futures
  • 15. Outline 1. Preamble: from AI-Watch to shaping AI policy at global level 2. Navigating through the Governance “of, with and by” AI 3. Watch out what’s next: digital sovereignty and AI Diplomacy!
  • 16. European Digital sovereignty and global AI Diplomacy: two sides of the same coin! • Policy-makers are faced by a difficult dilemma: “the obligation to protect citizens from potential algorithmic harms is at odds with the temptation to increase the efficiency and enhance the quality of digital services delivery” • In other words: to govern AI while governing with and by AI ! Misuraca, (2021), Governing Algorithms, Digital Future Society When negative side effects offset the risks avoided, precaution can be turned on its head: it is precautionary not to intervene! • “Like the Investiture Controversy affected all people, no matter whether religious or not, whoever will win the fight for digital sovereignty will determine the lives of all people on both sides of the digital divide” Floridi, (2020), The Fight for Digital Sovereignty: What It Is, and Why It Matters Sunstein, 2005, The Law of Fear Repetita Juvant
  • 17. Turning the EU into the global hub for human-centric AI (after the AI Act…) • The combination of the AI regulation and Coordinated Plan will make sure that Europeans can trust what AI has to offer  The regulation proposes proportionate and flexible rules to address the specific risks posed by AI systems and set the highest standard worldwide  The Plan outlines the necessary policy changes and investment at Member States level to strengthen Europe's leading position in the development of human-centric, sustainable, secure, inclusive and trustworthy AI • 21st April 2021 – The EU adopt the AI Package  Regulation on AI - COM(2021) 206 final 2021/0106 (COD)  Review of the EU Coordinated Plan on AI - COM(2021) 205 final
  • 18. Composing a Verdi symphony for leading the Digital Decade in the age of AI? European Parliament’s Special Committee on Artificial Intelligence in the Digital Age - AIDA • Assess the future impact of AI on the EU economy • Investigate the challenge of deploying AI and its contribution to business value and economic growth • Analyse the approach of third countries and their contribution to complementing EU actions • Evaluate the EC strategy on Shaping Europe’s digital future • Define a roadmap on ‘A Europe fit for the digital age’
  • 19. • Defining an OSS AI assessment policy / methodology to determine which public services are appropriate for the (experimental) use of OSS AI systems • Promoting GovTech and CivicTech ecosystems • Facilitating good quality data access for public institutions • Supporting public organisations as potential OSS AI producers • Using public procurement to encourage OSS AI digital solutions • Stimulating OSS innovation ecosystems to accelerate AI development and use • Creating opportunities for strengthening the sharing of OSS data and analytical tools across communities of research and practice Challenges and limits of OSS-AI Recommendations Source: Theben, A., et al., (2021) for the European Parliament, AIDA Committee
  • 20. Areas of concern • AI’s role in the Sino-American competition • AI for authoritarian control & AI nationalism • AI’s contribution to the rise in power of the private sector • AI in the military and defence realmArtificial General Intelligence (AGI) Recommendations • Establish a European Security Commission on AI • Establish a European research centre focused on AI-related questions • Work closely with the US & Keep focus on ethical and trustworthy AI • Encourage Member States to publish military AI strategies AI Diplomacy How AI can change the global balance of power? Franke, U., (2021) for the European Parliament, AIDA Committee
  • 21. Watch out what’s next! AI4GOV Master