The five Is: Key principles for interpretable and safe conversational AI

Author:

Wahde Mattias1,Virgolin Marco1

Affiliation:

1. Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Sweden

Publisher

ACM

Reference28 articles.

1. Exploring the Potential of GPT-2 for Generating Fake Reviews of Research Papers

2. Conversational agents in business: A systematic literature review and future research directions

3. On the Dangers of Stochastic Parrots

4. Large image datasets: A pyrrhic win for computer vision?

5. Tom B Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165(2020). Tom B Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165(2020).

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1. Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI;npj Digital Medicine;2024-03-29

2. DAISY: An Implementation of Five Core Principles for Transparent and Accountable Conversational AI;International Journal of Human–Computer Interaction;2022-06-10

3. Playful AI Prototypes to Support Creativity and Emotions in Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2022

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