Interview 6

AI and societal challenges

The following interview snippets were given by Simon Delakorda and cover the social impact of AI with daily life examples, the societal challenges of machine learning and the roles of institutions in the field of AI regulations.

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The Interviewee, Simon Delakorda, is the director of the Institute for Electronic Participation in Ljubljana, which is a non-profit organisation that deals with information society development. At the Institute they also work in the field of digitalisation and they deal with the problem of artificial intelligence.

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1) What can a machine with AI do? Solve a specific problem.
2) Do we know the exact definition of AI? No, we don’t.
3) What type of results do we get with the help of AI when using a browser? Personalised.
4) What does AI do with relevant and spam emails in online mail services? It filters them.
5) What types of problems does narrow AI solve? Very well-defined problems.
6) What type of task can a general AI perform? Human intelligence task.
7) Could AI in the future solve more complex problems than a human can? Yes.
8) What can be the negative consequence of AI in society? Discrimination in cases where human bias are transferred into the algorithms of an AI system.

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True or false?

Unlike human operation, there are no errors in machine learning.

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True or false?

In machine learning a mistake can be made during data collection and preparation.

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True or false?

There can be no misinterpretation of results in machine learning.

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True or false?

It’s very hard to train an algorithm which uses a huge amount of data from society.

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True or false?

One of the problems with machine learning is the oversimplification of results..

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True or false?

With machine learning we avoid discriminating a part of the population that is not often included in databases.

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True or false?

Biased results are the consequence of truncated patterns in society.

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Yes
No
 

Is the establishment of principles to regulate the use of AI one of the proposed solutions to avoid the possible negative consequences of AI?

Is it true that in the case of an AI error, the main problem is defining who is responsible for it?

Is UNESCO responsible for governing artificial intelligence?

Would the integration of the principles of diversity and inclusiveness in AI, further increase discrimination and inequality within society?

By following UNESCO’s proposal for diversity and inclusiveness in AI, do we avoid mistakes caused by poor data?

Does the UNESCO’s principle of economics mainly refer to employment issues as a consequence of AI?

Can AI have a negative impact on culture, diversity, development, heritage and the environment?

Should the concepts of AI be taught in schools and universities in order to raise awareness of the relationship between AI and society?

Do international cooperation platforms bring the possibility of AI development closer to poorer countries?

Could governance mechanisms regulate the development of AI, meaning inclusiveness, transparency, multilateral cooperation at the global level?

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Why are non-governmental organisations (NGO) important for AI?

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In the case of AI what are non-governmental organisations (NGO) paying attention to?

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How do non-governmental organisations (NGO) use AI?

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In what way do non-governmental organisations (NGOs) act as policy actors?

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