AI AND CRYPTO IN ONE: OR THE (ANTI)UTOPIAS OF WHICH WE SHOULD BE WEARY
A flood of ethical questions about artificial intelligence is flooding society today, and the need for balanced regulations is now more important than ever
WorldCoin offers a solution for digital identity by scanning the iris of the eyes, which will lead to the elimination of doubts about whether it is a human or a bot. However, this raises a lot of ethical questions related to the promise of a universal basic income that all humans will receive by default from WorldCoin.
The AI n’ Cyber 2023 event, organised by the Digital National Coalition in partnership with economic.bg and the Konrad Adenauer Foundation, will answer questions about how innovative concepts can get out of hand, what we need to watch out for to avoid creating future anti-utopian scenarios, and what challenges arise when combining blockchain and artificial intelligence.
The event will take place on 26 October at the John Atanasoff Hall in Sofia Tech Park.
Who is Monica Manolova?
Monika Manolova has a PhD in Geographic Information Systems (GIS) and is professionally involved in telecommunications. Over time, she realized that her science was a niche to enter the world of artificial intelligence.
“Geographic AI is about processing satellite imagery, which is very heavy, it’s driven by big data, and the only way to process it effectively is through machine learning and various forms of AI.”
– Monica Manolova
Monica works for Morality and Knowledge in AI, one of the largest ethics communities in AI, where she develops various projects. In Bulgaria, she is a subject matter expert at the Digital National Coalition. In her opinion, Bulgaria holds a good position in the development of artificial intelligence and ethics in AI and has a real opportunity for development in the field.
Technology for Good: Mission (Im)possible
“We in AI ethics want AI to be used for good, to improve the quality of life for people, to develop new medicines and environmental solutions. If only pure monetization is pursued, this is not good and leads to a distorted understanding of AI – from what it can be used for to purely social defects,” said Monika Manolova.
And she gives the example of the company Meta, which until recently had a department dealing with the development of new drugs, but closed it and laid off the experts there – so that it could invest more actively in the development of chatbots. The apparent opportunity for monetisation and mass exploitation of artificial intelligence prompted a swift response from a host of institutions. For example, just a few months after the launch of ChatGPT, organisations such as UNESCO, the White House and the EU quickly implemented regulations.
The reasons for the regulations vary. In India, for example, they are aimed at protecting workers’ professions from mass automation, while in Canada they are more artistically focused, with copyright protection. In Europe, they are focused in “protecting social classification”.
AI regulation has three aspects: data ethics, algorithm ethics and application ethics. In each of these areas, the data must be balanced, not exclude anyone on purpose, the algorithm must be able to explain how it works, and it is very important to eliminate the risk of emotional influence in the application.
According to Monika Manolova, attributing human qualities to artificial intelligence, which is an algorithm, is not correct, it is misleading. Therefore, there must be clear and categorical distinctions, because future generations will not be able to distinguish when what they are communicating with is artificial intelligence and when it is not.
As technology advances, more and more the line between artificial and natural intelligence is blurring. We need to be careful how and why we use this tool.
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