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Robots behaving badly: legal responsibility in the age of AI

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Presented at re:publica 18

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Robots behaving badly: legal responsibility in the age of AI

  1. 1. R O B O T S B E H A V I N G B A D L Y : L E G A L R E S P O N S I B I L I T Y I N T H E A G E O F A R T I F I C I A L I N T E L L I G E N C E D R A N D R E S G U A D A M U Z , U N I V E R S I T Y O F S U S S E X @ T E C H N O L L A M A
  2. 2. I , F O R O N E , W E L C O M E O U R N E W R O B O T I C O V E R L O R D S D R A N D R E S G U A D A M U Z , U N I V E R S I T Y O F S U S S E X @ T E C H N O L L A M A
  3. 3. A P O L O G Y
  4. 4. … A N D A S T O R Y … • Rule 34 by Charles Stross (sequel to Halting State). • Rule 34 refers to an Internet meme that posits that there is Internet pornography for every conceivable subject. • Book describes a rogue AI that starts killing people with IoT devices.
  5. 5. T H I N G S I W I L L N O T C O V E R A L G O R I T H M S
  6. 6. T H I N G S I W I L L N O T C O V E R R E G U L A T I N G S E L F - D R I V I N G C A R S
  7. 7. T H I N G S I W I L L N O T C O V E R T R O L L E Y P R O B L E M
  8. 8. T H I N G S I W I L L N O T C O V E R 3 L A W S O F R O B O T I C S
  9. 9. T H I N G S I W I L L N O T C O V E R K I L L E R D R O N E S
  10. 10. D O U G L A S H O F F S T A T E R , G Ö D E L , E S C H E R , B A C H “AI is whatever hasn't been done yet."
  11. 11. I D E A O F A I
  12. 12. M O R E L I K E T H I S
  13. 13. D E F I N I N G A R T I F I C I A L I N T E L L I G E N C E • “AI is the study of agents that receive precepts from the environment and perform actions.” Russel and Norvig (2016) • Agency is the key operator, so in this talk I prefer to talk about autonomous agents, as the “smartness” of the system becomes secondary.
  14. 14. T H E F U T U R E I S H E R E
  15. 15. S E L F - D R I V I N G C A R S U B E R C R A S H
  16. 16. S M A R T C O N T R A C T S P A R I T Y W A L L E T
  17. 17. M A C H I N E L E A R N I N G D A T A M I N I N G F O R M U S I C
  18. 18. S H O P P I N G B O T ! M E D I E N G R U P P E B I T N I K
  19. 19. L E G A L R E S P O N S E S T O N E W T E C H N O L O G I E S • Ban • Regulate • Self-regulate (or do nothing) • Co-regulate • Apply existing law • Draft new legislation
  20. 20. S E L F - D R I V I N G C A R S • I don’t think this poses a lot of legal challenges in the liability side, 3 types of potential liability • Product: Manufacturer liable for making a defective product. • Service: software developer, ISP, repair company liable for causing a fault in the system. • User: liability through misuse of the device, or neglect in keeping it in order (missing a vital patch).
  21. 21. S M A R T C O N T R A C T S • Similar analysis, product, service, user. • Liability made more difficult due to distributed and decentralised nature. • Who caused the bug? Can they be identified? Is there recourse? Can you sue someone to get your money back?
  22. 22. D A T A M I N I N G • Different type of liability. • In copyright, what matters is that someone has used a substantial part of a work, and that there can be a connection between the original work and the alleged infringement. • In few systems (US fair use), most derivative works would be permitted as transformative, the same is not true in other jurisdictions.
  23. 23. D O W E N E E D A N E W S Y S T E M • Existing laws on negligence still fit for purpose for most cases (Tort, delict, extra-contractual liability). • Proximate cause in tort of negligence, an event sufficiently related to an injury that the courts deem the event to be the cause of that injury. • Criminal liability is still problematic, but unlikely as there is no mens rea. • We may need an overhaul in contractual law arising from autonomous agents. • Revisit the Roman law of slavery? Servus non habet personam.
  24. 24. C O N C L U D I N G
  25. 25. @ T E C H N O L L A M A “We seem to be made to suffer. It's our lot in life” C3P0

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