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ETYKA A SZTUCZNA INTELIGENCJA. SPRZECZNOŚĆ CZY KOHERENCJA?

Authors: Artur Dąbek;

ETYKA A SZTUCZNA INTELIGENCJA. SPRZECZNOŚĆ CZY KOHERENCJA?

Abstract

Ethics and artificial intelligence are currently an area of intense scientific debate, where technological, philosophical and social issues intersect. The modern development of AI poses a number of challenges for researchers and practitioners related to responsibility, machine autonomy and the impact of new technologies on the lives of individuals and societies. These issues become particularly important in the context of the formation of human personality, which develops at every stage of life. The relationship between ethics and artificial intelligence (AI) is neither a pure contradiction nor a complete coherence, but a dynamic tension that requires constant harmonization. On the one hand, AI accelerates the development of civilization, on the other – it generates fundamental moral dilemmas related to the autonomy of systems, the fairness of algorithmic decisions and the protection of human dignity. Analysis of scientific and regulatory sources indicates that the key to overcoming the apparent contradiction is ethics by design, integrating moral norms into the architecture of technology. Artificial intelligence is neither inherently ethical nor unethical its relationship with ethics depends on the people who create and implement it. AI can be coherent with ethics if properly designed, monitored and used, but it can just as easily conflict with it, especially if oversight, data diversity or accountability are lacking.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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