Topic of Choice and Tentative Sources

The topic I have chosen to pursue is a post-modern analysis of AI, specifically chatbots, in technical writing and their efficacy and efficiency among users who speak English as a Native language, English as a Second Language, and African-American Vernacular English.

When I initially began searching for possible sources I believed there would be plenty. I can't be the first person to consider this issue. However, sources were relatively nascent. Upon tweaking my searches though I have found a plethora of what, I believe, will be rich sources. I have listed ten of them below:

References

Blodgett, S.L., et al. (2020). Language (technology) is power: A critical survey of bias in NLP. 

    Proceedings of the 58th annual meeting of the association for computational linguistics. 5454-5476. 

    10.18653/v1/2020.acl-main.485

Coniam, D. (2014). The linguistic accuracy of chatbots: usability from an ESL perspective. Text & Talk 

    34(5), 545-567. https://doi.org/10.1515/text-2014-0018

Harrison, G., Duarte, N., Hall, J.L. (2018). Where's the bias? developing effective model governance.         

    Proceedings of the Neural Information Processing Systems. Retrieved from     

    https://galenharrison.com/pdfs/fintech-nips.pdf

Jorgensen, A., Hovy, D., Sogaard, A. (2016). Learning a POS tagger for AAVE-like language. 

    Proceedings of the North American Association for Computational Linguistics (NAACL), 1115-1120.

    Retrieved from https://aclanthology.org/N16-1130.pdf

Nayeon lL., Madotto A., and Fung P. (2019). Exploring social bias in chatbots using stereotype 

    knowledge. In Proceedings of the 2019 Workshop on Widening NLP, 177-180. Retrieved from    

    http://www.winlp.org/wp-content/uploads/2019/final_papers/210_Paper.pdf

Nias, J. and Ruffin, M. (2020). Culturebot: A culturally relevant humanoid robotic dialogue agent. ACM 

    SE '20: Proceedings of the 2020 ACM southeast conference, pp 280-283. 

    https://doi.org/10.1145/3374135.3385306

Noble, S.U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.

Mohammed, P.S., Watson, E. (2019). Towards inclusive education in the age of artificial intelligence: 

    Perspectives, challenges and opportunities. In Knox, J., Wang, Y., and Gallagher, M. (Eds) Artificial 

    intelligence and inclusive education: Perspectives on rethinking and reforming education. (pp. 17-37) 

    Springer, Singapore. 

Schlesinger, A., O'Hara, K.P., and Taylor, A.S. (2018). Let's Talk About Race: Identity, Chatbots, and AI.

    CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1-14.

    https://doi.org/10.1145/3173574.3173889

Wakefield, J. (2016, March 24). Microsoft chatbot is taught to swear on twitter. BBC News. Retrieved 

    from https://www.bbc.com/news/technology-35890188



Comments

  1. AnonymousSeptember 12, 2021 at 5:42 PM

    I love this topic! It would be a really interesting analysis and I don't think anyone I know has an interest in this topic. I feel that one of the biggest sites with AI is Discord, so maybe that is worth a look into.

    ReplyDelete
  2. Israel RamirezSeptember 13, 2021 at 9:35 PM

    Your topic is extremely interesting to me. Like from the book's example of the logger, although it is not apparent that technology can be racist, it most definitely can make certain people feel left out-- leaving to a form of exclusion. The creator of certain technologies create them with only certain people in mind. or like from the books example, keeps only certain information about a student in mind. The lack of awareness of the rest of the other concepts can make certain research and UX feel not credible or genuine. Again, this is a great and adventurous topic that you chose and I hope that you will find much success in it because it is an important one.

    ReplyDelete
  3. Delaney MarichSeptember 14, 2021 at 6:45 PM

    Looking back at my blog post now, I am realizing that at least three of my sources are missing and one of them is incomplete on this list. I am unsure how this happened because I know I had a complete ten sources listed when I finished this post last week. I will have to investigate and re-insert those missing sources. One thing I am noticing is that there is only one source specifically focusing on AAVE users and AI. I will need to look in to this more and see if I can find more sources to help support my research. Perhaps this will be a hole that needs to be researched more that I can discuss in my conclusions. I think the chatbots from an ESL perspective will be one of the most useful sources from the list I have accumulated.

    ReplyDelete

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