AI Ethics Mario Cardador Martín Professional Ethics 2007 Mälardalen Höskola

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Presentation transcript:

AI Ethics Mario Cardador Martín Professional Ethics 2007 Mälardalen Höskola

2 Artificial Intelligence DEFINITIONS “the study of ideas that enable computers to be intelligent.” "the study and design of intelligent agents" Intelligence?

3 Artificial Intelligence INTELLIGENCE Definition...ability to reason?...ability to acquire and apply knowledge?...ability to perceive and manipulate things?

4 Goals of AI Make computers more useful “Computer scientists and engineers” Understand the principles that make intelligence possible “Psychologists, linguists and philosophers”

5 Points of view Strong AI: all mental activity is done by computing ( feelings and conscience can be obtained by simple computation ) Soft AI: mental activity can only be simulated Opinions are not the same ethically speaking when treating intelligent beings or aparently intelligent beings

6 What makes AI a moral issue? Rights(private life, anonimity) Duties Human welfare(phisical safety) Justice(equality) Ethical problems resulting from AI and intelligent systems can be divided into 3 main sections Information Control and Reasoning

7 What makes AI a moral issue? 1. Information and communication Intelligent systems store information in databases. Massive management of information and communications between systems could threaten private life, liberty or dignity of users. -

8 What makes AI a moral issue? 2. Control applications – Robotics Common problems of classical engineering: guarantee personal safety (phisical) and take responsibilities with the environment. - Basic safety in robotics : universal laws stating rules about behavior between robots and human (robots can not injure humans, robots must protect humans...)

9 What makes AI a moral issue? 3. Automatic reasoning Idea: computers taking decisions by themselves Problem: trust in intelligent systems Examples: - Medical diagnosis by symptoms - Artificial vision - Automatic Learning - Natural language processing New ethical problems !

10 Automatic Reasoning Ethical problems 1. Computers have no consciousness - They can not take responsibility of their actions - Are the creators responsible? The company in charge? - This way final decisions are always taken by humans 2. A consciounsness AI is developed - Could a computer simulate animal or human brain in order to receive the same animal or human rights? - Responsibilities

11 Consciousness AI Definition: Consciousness “an alert cognitive state in which you are aware of yourself and your situation” AI systems would not only get rights, but also they would want to have rights.

12 Consciousness AI Trust: Automatic pilot VS. automatic judge, doctor or policeman Equality problems: Could conscious computers work for us? Would not they become slaves? Do we have the right to turn off a conscious computer?

13 AI Limits AI depends on –Laws and economics –Technology -Current technology is not enough, but is improving exponentially (Moore’s Law). -Phisical and theoretical bounds are too far to be a possible restriction –Ethics -Should be the first obstacle to the evolution of AI

14 AI in the future Education in AI ethics Think about future goals of AI Decisions taken will lead to new ethical problems AI needs paralell evolution in biology, psychology...as well as technology

15 Conclusion Current AI ethics are quite undefined Everyday new controversial discussions are held around AI in the future AI wants to create something we do not really know: intelligence What is intelligence could be find out by AI researching We can not think about AI without ethics