Explore the challenges of responsible AI and discover how to mitigate issues related to Intellectual property and Toxicity. Options include unsupervised learning, large language models (LLMs), intellectual property, toxicity, and enterprise risk.
Table of Contents
Question
Which options are challenges of responsible artificial intelligence (AI)? (Select TWO.)
A. Unsupervised learning
B. Large language models (LLMs)
C. Intellectual property
D. Toxicity
E. Enterprise risk
Answer
C. Intellectual property
D. Toxicity
Explanation
Toxicity and intellectual property are two challenges of responsible AI. Toxicity is explained as a foundation model output that is hateful, threatening, insulting, or demeaning to an individual or a group of individuals. There is a tendency of early LLMs to produce outputs that were verbatim regurgitation of parts of their training data, resulting in privacy and copyright concerns around intellectual property. Implementing responsible AI best practices can help overcome these challenges.
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