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AI  and  Automated  Driving:  
An  Ethically  Aligned  Design
Raja	
  Cha'la	
  
Ins'tut	
  des	
  Systèmes	
  Intelligents	
  et	
  de	
  Robo'que	
  (ISIR)	
  
University	
  Pierre	
  &	
  Marie	
  Curie,	
  Sorbonne	
  Universités,	
  Paris	
  
	
  
Automated  Driving:  Increased  Safety?
• Complex	
  and	
  evolving	
  environment	
  
• Mixed	
  traffic	
  
• Unexpected	
  events	
  
• Incomplete,	
  noisy	
  percep'on	
  
• Non	
  determinis'c	
  ac'ons	
  (non	
  fully	
  predictable	
  ac'on	
  outcomes)	
  
• Limited	
  situa'on	
  awareness	
  
• Real-­‐'me	
  decisions	
  
2	
  
Automated  Driving:    Normal  situa=ons  and  
moral  dilemmas
	
  
	
  
	
  
	
   	
   	
   	
   	
  	
  
3	
  
? ?
A  Design  Approach  for  an  AI  Moral  Agent:  
Value  by  Design
•  Dilu'on	
  of	
  responsibili'es:	
  Designer?	
  Manufacturer	
  ?	
  Dealer?	
  Operator?	
  
Owner?	
  The	
  Autonomous	
  agent?	
  
•  Crea'on	
  of	
  a	
  moral	
  personhood	
  for	
  autonomous	
  agents?	
  Probably	
  a	
  bad	
  idea	
  
•  Following	
  an	
  ethical	
  approach	
  provides	
  guidelines	
  and	
  common	
  grounds	
  
•  Opera'onal	
  rules	
  can	
  be	
  implemented	
  and	
  explained	
  
•  Shared	
  norms,	
  and	
  local	
  adapta'on	
  	
  
•  Problems:	
  	
  
•  acceptability	
  and	
  consensus	
  on	
  the	
  ethical	
  values	
  
•  Rule	
  set	
  completeness	
  
•  Uncertain'es	
  
4	
  
Value-­‐Sensi=ve  Design
5	
  
Sarah	
  Spiekermann,	
  Ethical	
  IT	
  Innova'on,	
  CRC	
  Press	
  ,	
  2016	
  
6	
  
Conclusions:  Design  Guidelines
• Pragma'c	
  moral	
  approaches	
  based	
  on	
  learning	
  and	
  
valida'on	
  may	
  be	
  more	
  appropriate	
  
• Clearly	
  define	
  limits	
  of	
  machine	
  capaci'es:	
  decision-­‐making,	
  
control	
  algorithms,	
  percep'on.	
  
• Qualify	
  uncertain'es.	
  
• Design	
  for	
  tracing	
  robot	
  decisions.	
  
• Design	
  for	
  predictability	
  of	
  human-­‐machine	
  system.	
  	
  
• Transparent	
  design	
  of	
  decisional	
  system	
  
7	
  

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AI and Automated Driving : An Ethically Aligned Design

  • 1.   AI  and  Automated  Driving:   An  Ethically  Aligned  Design Raja  Cha'la   Ins'tut  des  Systèmes  Intelligents  et  de  Robo'que  (ISIR)   University  Pierre  &  Marie  Curie,  Sorbonne  Universités,  Paris    
  • 2. Automated  Driving:  Increased  Safety? • Complex  and  evolving  environment   • Mixed  traffic   • Unexpected  events   • Incomplete,  noisy  percep'on   • Non  determinis'c  ac'ons  (non  fully  predictable  ac'on  outcomes)   • Limited  situa'on  awareness   • Real-­‐'me  decisions   2  
  • 3. Automated  Driving:    Normal  situa=ons  and   moral  dilemmas                   3   ? ?
  • 4. A  Design  Approach  for  an  AI  Moral  Agent:   Value  by  Design •  Dilu'on  of  responsibili'es:  Designer?  Manufacturer  ?  Dealer?  Operator?   Owner?  The  Autonomous  agent?   •  Crea'on  of  a  moral  personhood  for  autonomous  agents?  Probably  a  bad  idea   •  Following  an  ethical  approach  provides  guidelines  and  common  grounds   •  Opera'onal  rules  can  be  implemented  and  explained   •  Shared  norms,  and  local  adapta'on     •  Problems:     •  acceptability  and  consensus  on  the  ethical  values   •  Rule  set  completeness   •  Uncertain'es   4  
  • 5. Value-­‐Sensi=ve  Design 5   Sarah  Spiekermann,  Ethical  IT  Innova'on,  CRC  Press  ,  2016  
  • 7. Conclusions:  Design  Guidelines • Pragma'c  moral  approaches  based  on  learning  and   valida'on  may  be  more  appropriate   • Clearly  define  limits  of  machine  capaci'es:  decision-­‐making,   control  algorithms,  percep'on.   • Qualify  uncertain'es.   • Design  for  tracing  robot  decisions.   • Design  for  predictability  of  human-­‐machine  system.     • Transparent  design  of  decisional  system   7