Resources

Buenos Aires AI Plan

The Buenos Aires AI Plan is an overarching strategy for the generation of a positive impact through the use and development of artificial intelligence. The plan breaks down potential risks and opportunities, specifies main objectives, provides a structure for its implementation and describes the main challenges to achieve this. In addition it endorses AI ethical principles to be respected, among which we find transparency, privacy, cybersecurity, respect for the environment, responsibility, human intervention and open governance. Moreover, the plan also featured the creation of Buenos Aires AI Lab, in charge of deploying AI-based government solutions and training decision-makers and public employees.

The plan was elaborated using a collective, open and collaborative methodology. 147 professionals and experts participated in its creation, as well as teams from 16 government areas.

  • City of Buenos Aires
  • Publication date: Aug, 2021

‘AI Localism’ Course Module

Part of the course “AI Ethics: Global perspectives”, this module by researcher Stefaan Verhulst (Co-Founder and Chief Research and Development Officer, The Governance Lab) analyses the concept of ‘AI Localism’. As AI technologies become increasingly ubiquitous across governments and public services, cities have taken on a larger role in governing, monitoring, and overseeing its use. Cities have become innovation hubs for AI governance. How will cities reconcile the risks and benefits of AI use? What measures can be implemented to open up black-box technologies and allow governments to exercise transparency to constituents on their use of AI? Examining use cases of AI at a local level across housing, urban planning, public service, citizen engagement, energy, education, safety, and social care sectors, Stefaan sheds light on novel ways local governments are implementing and regulating AI.

  • The GovLab
  • Publication date: Jun, 2021

Artificial Intelligence Act

The Artificial Intelligence Act (AI Act) is a proposed regulation by the European Commission which aims to introduce a common regulatory and legal framework for artificial intelligence. It applies to all sectors (except for military), and to all types of artificial intelligence.

  • European Commission
  • Publication date: Apr, 2021

Urban AI Report

URBAN AI is a report co-authored with 20 leading entrepreneurs and scientists. It aims to coin and develop the concept of urban AI.

  • URBAN AI, Think tank on ethical modes of governance and sustainable uses of urban AI
  • Publication date: Mar, 2021

Public AI Registers: Realising AI transparency and civic participation in government use of AI – White Paper

White Paper introducing the concept of a public AI register as a means for transparency and civic participation in government use of AI. In this paper, the city of Amstedam, Helsinki and Saidot share their work on AI registers and suggest the concept for broader adaptation.

  • Meeri Haataja, Linda van de Fliert and Pasi Rautio, CEO, Saidot; Project Manager, CTO, City of Amsterdam; Project Manager, City of Helsinki
  • Publication date: Sep, 2020

NYC ADS Task Force Report

The New York City Automated Decision Systems Task Force was established by Local Law 49 of 2018 and was tasked with recommending a process for reviewing the city’s use of automated decision systems. The report provides recommendations on six different topics and are centered around three key themes: building capacity for an equitable, effective, and responsible approach to the City’s ADS; broadening public discussion on ADS; and formalizing ADS management functions.

Ultimately, its goal is to ensure these systems align with the objective of making New York City a fairer and more equitable place.

  • New York City Council
  • Publication date: Nov, 2019

Singapore’s Model AI Governance Framework

Singapore released its Model AI Governance Framework at the 2019 World Economic Forum to create “ethical principles into practical recommendations that organisation could readily adopt to deploy AI reponsibly.” The key facets of the framework state that: decisions made by AI should be “explainable, transparent and fair”; and AI systems should be human-centric (i.e., the design and deployment of AI should protect people’s interests including their safety and wellbeing).

  • PDPC Singapore
  • Publication date: Jan, 2019

Montreal Declaration for a Responsible Development of Artificial Intelligence

Announced on November 3, 2017 at the conclusion of the Forum on the Socially Responsible Development of AI held in Montréal, this declaration is an early example of a municipality developing a set of guiding principles for the development and deployment of a responsible AI for public purposes. Through a co-construction process with citizens, its creation involved a series of public consultations and citizen assemblies with over 500 residents, experts and key stakeholders. With more than 2,200 signatory citizens and >200 signatory organisations, the declaration promotes the following principles: Well-being; Privacy and Intimacy; Respect for Autonomy; Responsibility; Democratic Participation; Equity; Solidarity; Diversity and Inclusion; Prudence; and Sustainable Development.

  • Université de Montréal
  • Publication date: Feb, 2018

Montréal Declaration for a Responsible Development of Artificial Intelligence – Complete Report

Complete report on the Montréal Declaration for a Responsible Development of AI. It features six parts: 1. co-construction approach and methodology; 2. overview of international recommendations for AI ethics; 3. summary report of recommendations from the winter co-construction workshops; 4. fall 2018 co-construction: key activities; 5. summary report of online surveys and proposals received for the Montréal responsible AI declaration; 6. priority projects and their recommendations for responsible AI development.

  • Université de Montréal
  • Publication date: Feb, 2018

Understanding Public-Private Data Sharing Agreements

Contracts for Data Collaboration (C4DC) seeks to strengthen trust, transparency,
and accountability of cross-sector data collaboratives. The intent of this initiative
is to enable more effective and efficient ways of accessing, sharing and using
data for public problem-solving and sustainable development.

  • GOVLAB
1 2 3 4