10.6092/issn.2531-6133/8670
Talk of artificial intelligence is everywhere. People marvel at the capacity of machines to translate any language and master any game. Others condemn the use of secret algorithms to sentence criminal defendants or recoil at the prospect of machines gunning for blue, pink, and white-collar jobs. Some worry aloud that artificial intelligence will be humankind’s “final invention.” This essay, prepared in connection with UC Davis Law Review's 50th anniversary symposium, explains why AI is suddenly on everyone's mind and provides a roadmap to the major policy questions AI raises. The essay is designed to help policymakers, investors, technologists, scholars, and students understand the contemporary policy environment around AI at least well enough to initiate their own exploration. Topics covered include: justice and equity, use of force, safety and certification, privacy (including data parity) and taxation and displacement of labor. In addition to these topics, the essay will touch briefly on a selection of broader systemic questions: institutional configuration and expertise, investment and procurement, removing hurdles to accountability and correcting mental models of AI.
application/pdf
2531-6133
8670
2
en
Ryan Calo
University of Bologna Law Review
Governance
Artificial Intelligence Policy: A Primer and Roadmap
Text.Serial.Journal
https://bolognalawreview.unibo.it/
3
Articles & Essays
2018-11-12
2018-11-12
2018-09-16
2020-01-23
180-218
UBLR
Ryan Calo
2018/11/12
10.6092/issn.2531-6133/8670
180
University of Washington
2531-6133
2
Governance
en
218
Artificial Intelligence Policy: A Primer and Roadmap
https://bolognalawreview.unibo.it/article/download/8670/8420
3
ARTICLES & ESSAYS                                           https://doi.org/10.6092/issn.2531-6133/8670




                Artificial Intelligence Policy: a Primer and Roadmap

                                                        †




                              UNIVERSITY OF BOLOGNA LAW REVIEW

                                      ISSN 2531-6133

                                       [VOL.3:2 2018]
                  https://doi.org/10.6092/issn.2531-6133/8670




1. INTRODUCTION
https://doi.org/10.6092/issn.2531-6133/8670
https://doi.org/10.6092/issn.2531-6133/8670
                     https://doi.org/10.6092/issn.2531-6133/8670




     2. BACKGROUND

2.1. WHAT IS AI?
https://doi.org/10.6092/issn.2531-6133/8670
                                           https://doi.org/10.6092/issn.2531-6133/8670




2.2. WHERE IS AI DEVELOPED AND DEPLOYED?
https://doi.org/10.6092/issn.2531-6133/8670
                        https://doi.org/10.6092/issn.2531-6133/8670




2.3. WHY AI “POLICY”?
https://doi.org/10.6092/issn.2531-6133/8670
                                 https://doi.org/10.6092/issn.2531-6133/8670




3. KEY QUESTIONS FOR AI POLICY
                          https://doi.org/10.6092/issn.2531-6133/8670




3.1. JUSTICE AND EQUITY
                                   https://doi.org/10.6092/issn.2531-6133/8670




3.1.1. INEQUALITY IN APPLICATION
https://doi.org/10.6092/issn.2531-6133/8670
                                       https://doi.org/10.6092/issn.2531-6133/8670




3.1.2. CONSEQUENTIAL DECISION-MAKING
https://doi.org/10.6092/issn.2531-6133/8670
                    https://doi.org/10.6092/issn.2531-6133/8670




3.2. USE OF FORCE
https://doi.org/10.6092/issn.2531-6133/8670
                                                  https://doi.org/10.6092/issn.2531-6133/8670




3.3. SAFETY AND CERTIFICATION




3.3.1. SETTING AND VALIDATING SAFETY THRESHOLDS
https://doi.org/10.6092/issn.2531-6133/8670
                       https://doi.org/10.6092/issn.2531-6133/8670




3.3.2. CERTIFICATION




3.3.3. CYBERSECURITY
                         https://doi.org/10.6092/issn.2531-6133/8670




3.4. PRIVACY AND POWER
                                            https://doi.org/10.6092/issn.2531-6133/8670




3.4.1. THE PROBLEM OF PATTERN RECOGNITION
https://doi.org/10.6092/issn.2531-6133/8670
https://doi.org/10.6092/issn.2531-6133/8670
                                 https://doi.org/10.6092/issn.2531-6133/8670




3.4.2. THE DATA PARITY PROBLEM
https://doi.org/10.6092/issn.2531-6133/8670
                                          https://doi.org/10.6092/issn.2531-6133/8670




3.5. TAXATION AND DISPLACEMENT OF LABOR
                                          https://doi.org/10.6092/issn.2531-6133/8670




3.6. CROSS-CUTTING QUESTIONS (SELECTED)
                                                   https://doi.org/10.6092/issn.2531-6133/8670




3.6.1. INSTITUTIONAL CONFIGURATION AND EXPERTISE
https://doi.org/10.6092/issn.2531-6133/8670
                                            https://doi.org/10.6092/issn.2531-6133/8670




3.6.2. INVESTMENT AND PROCUREMENT




3.6.3. REMOVING HURDLES TO ACCOUNTABILITY
                             https://doi.org/10.6092/issn.2531-6133/8670




3.6.4. MENTAL MODELS OF AI
                          https://doi.org/10.6092/issn.2531-6133/8670




4. ON THE AI APOCALYPSE
https://doi.org/10.6092/issn.2531-6133/8670
https://doi.org/10.6092/issn.2531-6133/8670
https://doi.org/10.6092/issn.2531-6133/8670
                  https://doi.org/10.6092/issn.2531-6133/8670




4.1. CONCLUSION
https://doi.org/10.6092/issn.2531-6133/8670
