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<!DOCTYPE HTML>
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<li><a href="#">One: induction</a></li>
<li><a href="#">Two: understanding artificial intelligence</a></li>
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<h3>What are the potential advantages and disadvantages of the use of agent communication languages such as KQML? How do they compare with method invocation in Python or Java?</h3>
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<p>We have seen an increase in AI-generated content. This raises the important question, who is the owner of such content? This breaks the conventional system of creative process and ownership, and it seems that the legal frameworks will be tested, especially when there is a clear resemblance to prior intellectual property (Bridy, 2022).</p>
<p>In addition, there is likely to be a societal impact, increased by the rapid adoption at scale of AI tools. Human creativity is likely to be swiftly changed, for better or worse, with AI tools as part of the process. In addition, AI can create a large volume of content, swamping human outputs, and so can drive the direction of discourse in society (Boden, 2018).</p>
<p>Thirdly, there is a lack of transparency in AI algorithms used for content generation, and indeed the source data used to train these algorithms. To gain the trust of society and address ethical issues proactively, such as bias and fairness, more information about the development of AI algorithms should be made public (Mittelstadt et al. 2016).</p>
<p>References</p>
<p>Boden, M. A. (2018). Artificial Intelligence: A Very Short Introduction. Oxford University Press.
Bridy, A. (2022). Ownership of AI-Generated Content. Harvard Journal of Law & Technology, 35(1), 1-36.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.</p>
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