Ethics and artificial intelligence
challenges and Best Practices
DOI:
https://doi.org/10.35699/2965-6931.2023.47673Keywords:
artificial intelligence, ethic, machine learning, deep learning, algorithm biasAbstract
The rapid advancement of artificial intelligence (AI) brought with it the need to understand its social impact and ethical implications. In this sense, this article raised and discussed the main ethical issues related to AI, the current primary obstacles in the development of machine learning algorithms, and the best practices to develop ethical and fair algorithms. Biases can easily perpetuate themselves through the use of unbalanced datasets and unsubstantiated correlations. Therefore, collaboration between algorithm developers and other specialists becomes essential to understand different perspectives and identify the subtle forms of the propagation of prejudices. The ethics of algorithms is not an issue that will be solved only through a technological approach - this theme also involves social, cultural, legal, and political aspects. Therefore, technological development and social responsibility must go hand in hand to avoid the aggravation of social differences.
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References
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