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ETHICBOTS

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ETHICBOTS crude questions (how) is the ICT monitoring and use of personal data to be regulated? who is responsible for actions carried out by human-robot hybrid ... – PowerPoint PPT presentation

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Title: ETHICBOTS


1
ETHICBOTS crude questions
  • (how) is the ICT monitoring and use of personal
    data to be regulated?
  • who is responsible for actions carried out by
    human-robot hybrid teams?
  • can bionic implants be used to enhance physical
    and intellectual capabilities?

2
concerning human-machine integration
  • Human-softbot integration, as achieved by AI
    research on information and communication
    technologies
  • Human-robot, non-invasive integration, as
    achieved by robotic research on autonomous
    systems inhabiting human environments
  • Human-robot invasive integration, as achieved by
    bionic research.

3
ETHICBOTS Strategic objectives
  • Raising awareness and deepening understanding of
    these techno-ethical issues (conceptual
    analysis)
  • Ethical monitoring of ICT, robotic, and bionic
    technologies for enhancing human mental and
    physical capacities
  • Fostering integration between Science and
    Society, by
  • promoting responsible research,
  • providing input to EU and national committees for
    ethical monitoring, warning, and opinion
    generation,
  • improving communication between scientists,
    citizens and special groups.

4
Multiple-actor enterprise
  • Ordinary citizens
  • Legal experts
  • Computer scientists
  • Sociologists
  • Roboticists
  • Philosophers
  • Theologians

5
Conceptual analysis by experts
  • Conceptual analysis on the basis of specialized
    knowledge
  • triaging techno-ethical issues,
  • deepening our understanding of the higher-ranked
    issues,
  • identifying ethical motivations opening new
    research perspectives,
  • dispelling misconceptions

6
Triaging identifying potential impact categories
  • We need a set of Potential Impact Categories
    (PICs) as a basis for triaging emerging
    techno-ethical issues.
  • Examples
  • imminence,
  • novelty,
  • Social pervasiveness of technologies.

7
General Ethical Themes
  • Personal integrity and identity
  • Responsibility
  • Autonomy
  • Fair access

8
Deepening our understandinglearning machines and
responsibility
  • Designers, manufacturers, and operators cannot
    fully predict the behaviour of many learning
    machines based on
  • symbolic learning
  • neural network learning
  • evolutionary algorithms
  • Traditional concepts of responsibility ascription
    fail!

9
Deepening our understandingBeing cautious about
precautionary principles
  • Should one enforce a human-in-the-control-loop
    exceptionless requirement?
  • No! Machines can take decisions which humans
    should not override (e.g., to prevent accidents)

10
Ethically motivated research
  • Improving machine learning standards
  • Practising cooperative design
  • Providing machines with explanation
    justification facilities

11
Explanation and justification
  • Accountability, autonomy, trust, social anxiety
  • Machines should become increasingly capable to
    explain and justify their courses of action
  • Antecedents in knowledge-based decision support
    systems and expert systems
  • Future Developments Machine introspective and
    reflective capacities

12
Dispelling misconceptions
  • The machine will do exactly what we programmed
    it to do
  • Do we fully understand the robots we make and
    theorize about?
  • Can we fully predict and control robot behaviour?

13
Misconceptions at war
The American military is working on a new
generation of soldiers, far different from the
army it has. "They don't get hungry," said Gordon
Johnson of the Joint Forces Command at the
Pentagon. "They're not afraid. They don't forget
their orders. They don't care if the guy next to
them has just been shot. Will they do a better
job than humans? Yes. The robot soldier is
coming. Front-page article, NYT 16 feb. 2005 T.
Weiner
14
Robo-soldiers AI-complete problems
  • Open context interpretation
  • Recognizing surrender gestures
  • Telling bystanders from foes
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