Ethical analysis of the open-sourcing of a state-of-the-art conversational AI

Clément Delangue
May 9 · 4 min read
http://convai.huggingface.co

Why?

As you can see from taking a look at our GitHub and medium pages, at Hugging Face, we firmly believe that open-source and knowledge sharing should be the default. It is both the easiest and fairest way for everyone to participate and reap the fruits of the remarkable progress of deep learning for NLP.

How to prevent malicious use?

Despite our firm open stance, we also believe that technology is not neutral and specific action must be taken on a day-to-day basis for it to have a positive impact. For example, we publicly published the values of our conversational artificial intelligence, almost a year ago.

https://medium.com/huggingface/artificial-intelligence-needs-values-here-are-ours-dc4268366d0f

How to know you are chatting with a transfer learning conversational AI

  • Ask reasoning or simple-math-language question. Deep-learning models have very low reasoning capabilities. If they try to avoid answering they are likely a bot:

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Thanks to Thomas Wolf and Julien Chaumond.

Clément Delangue

Written by

Co-founder at 🤗 Hugging Face & Organizer at the NYC European Tech Meetup— On a journey to make AI more social!

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Stories @ Hugging Face