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Robots that
stimulate autonomy
Matthijs Pontier, matthijspon@gmail.com
Guy Widdershoven
SELEMCA
• Develop ‘Caredroids’: Robots or Computer Agents
that assist Patients and Care-deliverers
• Focus on patients who stay in long-term care facilities
2Pafos, 30-09-2013 AIAI 2013
Applications: Care Agents
3Pafos, 30-09-2013 AIAI 2013
Applications: Care Robots
4Pafos, 30-09-2013 AIAI 2013
Possible functionalities
• Care-broker: Find care that matches need patient
• Companion: Become friends with the patient to
prevent loneliness and activate the patient
• Coach: Assist the patient in making healthy choices:
Exercising, Eating healthy, Taking medicine, etc.
5Pafos, 30-09-2013 AIAI 2013
Background Machine Ethics
• Machines are becoming more autonomous
 Rosalind Picard (1997): ‘‘The greater the freedom of
a machine, the more it will need moral standards.’’
• Machines interact more with people
We should manage that machines do not harm us or
threaten our autonomy
• Machine ethics is important to establish perceived
trust in users
6Pafos, 30-09-2013 AIAI 2013
Moral reasoning system
We developed a rational moral reasoning system that
is capable of balancing between conflicting moral goals.
7Pafos, 30-09-2013 AIAI 2013
Positive vs Negative Autonomy
• Negative Autonomy = Self-determination
• Freedom of others
• Autonomy is more than self-determination
• Being able to make a meaningful choice
• Act in line with well-considered preferences
• Positive Autonomy =
Freedom to make a meaningful choice
Pafos, 30-09-2013 AIAI 2013
Typical moral dilemmas
Caredroids will encounter
• Positive vs Negative Autonomy:
• Accept unhealthy choice vs Persuade reconsider
• Binding to previous agreement vs Giving up
 Expand moral principle of Autonomy
Pafos, 30-09-2013 AIAI 2013
Model autonomy
Pafos, 30-09-2013 10AIAI 2013
Relations in the model
Autonomy = Positive_autonomy * Negative_autonomy
Positive_Autonomy =
Information * Cognitive_Functioning * Reflection
Negative autonomy =
wp*Privacy + wm *Mental_Integrity + wph * Physical_Integrity
Pafos, 30-09-2013 AIAI 2013
New Moral Reasoning System
Pafos, 30-09-2013 AIAI 2013
Results
Pafos, 30-09-2013 AIAI 2013
• New moral reasoning system matches decisions
previous moral reasoning system
• Simulation of 2008-2012 NL law cases:
• Case 1: Assertive outreach to prevent judicial coercion
• Patient in demise. Aggression  Assertive Outreach
• Case 2: Inform care deliverers, not parents of adult
• Patient in alarming situation. No good contact with parents.
• Case 3: Neg. autonomy constrained to enhance pos. autonomy
• Self-binding declaration addict due to relapses in alcohol
use
• Conditions were met  Judicial Coercion
Conclusions
• We created moral reasoning system including twofold
approach of autonomy
• System matches decisions medical ethical experts
• System matches decisions law cases
• By using theories of (medical) ethics, we can build
robots that stimulate autonomy
14Pafos, 30-09-2013 AIAI 2013
Future Work
• Integrate to Moral Coppelia: Model of affective moral
decision making.
• Especially useful when machines communicate
with humans
• Involved nurse will focus more on pos. autonomy
• Little involved will focus more on neg. autonomy
Pafos, 30-09-2013 AIAI 2013
Thank you!
16
Matthijs Pontier
m.a.pontier@vu.nl
http://camera-vu.nl/matthijs
http://www.linkedin.com/in/matthijspontier
http://crispplatform.nl/projects/selemca
Pafos, 30-09-2013 AIAI 2013

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Robots that stimulate our autonomy

  • 1. Robots that stimulate autonomy Matthijs Pontier, matthijspon@gmail.com Guy Widdershoven
  • 2. SELEMCA • Develop ‘Caredroids’: Robots or Computer Agents that assist Patients and Care-deliverers • Focus on patients who stay in long-term care facilities 2Pafos, 30-09-2013 AIAI 2013
  • 3. Applications: Care Agents 3Pafos, 30-09-2013 AIAI 2013
  • 4. Applications: Care Robots 4Pafos, 30-09-2013 AIAI 2013
  • 5. Possible functionalities • Care-broker: Find care that matches need patient • Companion: Become friends with the patient to prevent loneliness and activate the patient • Coach: Assist the patient in making healthy choices: Exercising, Eating healthy, Taking medicine, etc. 5Pafos, 30-09-2013 AIAI 2013
  • 6. Background Machine Ethics • Machines are becoming more autonomous  Rosalind Picard (1997): ‘‘The greater the freedom of a machine, the more it will need moral standards.’’ • Machines interact more with people We should manage that machines do not harm us or threaten our autonomy • Machine ethics is important to establish perceived trust in users 6Pafos, 30-09-2013 AIAI 2013
  • 7. Moral reasoning system We developed a rational moral reasoning system that is capable of balancing between conflicting moral goals. 7Pafos, 30-09-2013 AIAI 2013
  • 8. Positive vs Negative Autonomy • Negative Autonomy = Self-determination • Freedom of others • Autonomy is more than self-determination • Being able to make a meaningful choice • Act in line with well-considered preferences • Positive Autonomy = Freedom to make a meaningful choice Pafos, 30-09-2013 AIAI 2013
  • 9. Typical moral dilemmas Caredroids will encounter • Positive vs Negative Autonomy: • Accept unhealthy choice vs Persuade reconsider • Binding to previous agreement vs Giving up  Expand moral principle of Autonomy Pafos, 30-09-2013 AIAI 2013
  • 11. Relations in the model Autonomy = Positive_autonomy * Negative_autonomy Positive_Autonomy = Information * Cognitive_Functioning * Reflection Negative autonomy = wp*Privacy + wm *Mental_Integrity + wph * Physical_Integrity Pafos, 30-09-2013 AIAI 2013
  • 12. New Moral Reasoning System Pafos, 30-09-2013 AIAI 2013
  • 13. Results Pafos, 30-09-2013 AIAI 2013 • New moral reasoning system matches decisions previous moral reasoning system • Simulation of 2008-2012 NL law cases: • Case 1: Assertive outreach to prevent judicial coercion • Patient in demise. Aggression  Assertive Outreach • Case 2: Inform care deliverers, not parents of adult • Patient in alarming situation. No good contact with parents. • Case 3: Neg. autonomy constrained to enhance pos. autonomy • Self-binding declaration addict due to relapses in alcohol use • Conditions were met  Judicial Coercion
  • 14. Conclusions • We created moral reasoning system including twofold approach of autonomy • System matches decisions medical ethical experts • System matches decisions law cases • By using theories of (medical) ethics, we can build robots that stimulate autonomy 14Pafos, 30-09-2013 AIAI 2013
  • 15. Future Work • Integrate to Moral Coppelia: Model of affective moral decision making. • Especially useful when machines communicate with humans • Involved nurse will focus more on pos. autonomy • Little involved will focus more on neg. autonomy Pafos, 30-09-2013 AIAI 2013

Notes de l'éditeur

  1. Science + Health Care + Creative Industry Triangle Patient / Care-deliverer / Robot Robot: Repetitive tasks, so that Care-deliverer has time for: Medical + Social tasks
  2. Functionalities can all be in the same robot Same functionality can be in different kind of robots (physical robot, agent, app)
  3. Results: Able to match decisions medical ethical experts
  4. Negative autonomy is freedom of others Positive autonomy is freedom to make a well-reflected choice
  5. For example, when a patient goes into rehab his freedom can be limited for a limited period of time to achieve better cognitive functioning and self-reflection in the future.
  6. No negative autonomy  not free to choose because others make choice for you No positive autonomy  not free because not able to make a meaningful choice If privacy is constrained, but physical and mental integrity are left intact, the level of self-determination can be higher than the level of privacy alone.
  7. Risk on aggression, fire. Assertive Outreach prevented worsening of the situation  prevented JC Less impact on privacy, more potential to prevent worsening. During detox, restore cognitive functioning and reflection
  8. 1: Robot tries to convince elder to take pills