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3     AI principles framework


            Artificial Intelligence, as a frontier technology, is used in urban contexts to address various city
            challenges. These can include areas such as hiring, utilities, transportation, cybersecurity and
            tourism. Today, undoubtedly Artificial Intelligence already facilitates the lives of people in various
            contexts and applications. However, as with all other erstwhile technologies, it also brings its own
            risks and pitfalls.


            In this context, this guide presents a principles framework that cities can use for their own AI systems.
            The framework is flexible to accommodate cities’ particular goals and objectives by allowing them
            to select their own principles from a relatively rich set of potential principles. The implementation
            of these principles is important to achieve intended outcomes from AI systems in cities.


            The AI principles framework developed in this guide aims to establish a list of AI principles as
            mutually exclusive and collectively exhaustive as possible. The first section provides a general
            overview of existing initiatives that have formulated AI principles. The second section synthesizes
            a list of AI principles for cities to use in the form of a framework.



            3.1     PART 1: General overview of formerly issued AI principles documents

            Multiple stakeholders, including private and public sectors, Non-Governmental Organizations
            (NGOs), associations, and academic institutions have published AI principles. More specifically, in
            the past five years, there has been a proliferation of AI principles documents providing guidance
            in concomitance with increased use of AI systems and solutions in cities.

            Table 1 is a non-exhaustive compendium of erstwhile issued AI principles indicating their names
            and sources from different stakeholder types.



            Table 1: Examples of formerly issued AI principles documents

              AI Principles Name                                      Source

              Recommendation on the Ethics of Artificial Intelligence  UNESCO
              Asilomar AI Principles                                  Future of Life Institute
              A Unified Framework of Five Principles for AI in Society  MIT
              AI at Google: our principles                            Google
              Understanding artificial intelligence ethics and safety  The Alan Turing Institute

              A guide for the responsible design and implementation of
              AI systems in the public sector
              AI Ethics Principles                                    Australian Government - Department of
                                                                      Industry, Science, Energy and Resources
              Beijing AI Principles                                   Beijing Academy of Artificial Intelligence
                                                                      (BAAI)





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