Training in complex thinking is required in fields like computer science and discussing sensitive topics that can easily polarize internet users’ propensities. Multilogicality and Metamemetic reasoning are strongly suggested as an approach to identifying and analyzing factors related to AI Bias and human biases. This approach entails identifying problems and deducting invalid premises, distinguishing them from valid premises or those we are uncertain about. The theme of this paper focuses on four groups of people: curators, developers, businesses, and users (the fourth group being the main focus). This approach offers a new way to apply critical thinking strategies in the context of living in a digital age.
References
[1]
Fontanive, D. (2019) From Memes to Technomemes and Digital Selves. 2019 Congreso Internacional de Educación y Aprendizaje, Porto, 19-21 June 2019.
[2]
Dawkins, R. (1999) The Selfish Meme. Time, 153, 52-53.
[3]
Blackmore, S. (1998) Imitation and the Definition of a Meme. Journal of Memetics-Evolutionary Models of Information Transmission, 2, 159-170.
Dilmegani, C. (2021) Bias in AI: What It Is, Types and Examples of Bias, and Tools to Fix it. Science and Technology, 52, 1-3. https://research.aimultiple.com/ai-bias/
[6]
Roy, L. (2015) Advancing Indigenous Ecology within LIS Education. Library Trends, 64, 384-414. https://doi.org/10.1353/lib.2015.0045
Ujifusa, A. (2020) 1 in 3 American Indian, Black, and Latino Children Fall into the Digital Divide, a Study Says. Education Week. https://www.edweek.org/education/1-in-3-american-indian-black-and-Latino-children-fall-into-digital-divide-study-says/2020/07
[9]
Uzzi, B. (2020) A Simple Tactic that Could Help Reduce Bias in AI. Harvard Business Review. https://hbr.org/2020/11/a-simple-tactic-that-could-help-reduce-bias-in-ai
[10]
Lecher, C. (2019) The Artificial Intelligence Field Is Too White and Too Male, Researchers Say: A New Report Explores AI’s ‘Diversity Crisis’. The Verge. https://www.theverge.com/2019/4/16/18410501/artificial-intelligence-ai-diversity-report-facial-recognition
[11]
Budd, J.M. (1996) The Complexity of Information Retrieval: A Hypothetical Example. The Journal of Academic Librarianship, 22, 111-117. https://doi.org/10.1016/S0099-1333(96)90177-9
[12]
Khan, S. and Bhatt, I. (2018) Curation. In: Hobbs, R. and Mihailidis, P., Eds., The International Encyclopedia of Media Literacy. https://onlinelibrary.wiley.com/doi/10.1002/9781118978238.ieml0047
[13]
White, R.W. and Horvitz, E. (2015) Belief Dynamics and Biases in Search. ACM Transactions on Information Systems, 33, 1-46. https://doi.org/10.1145/2746229
[14]
Frazier, T.Z. (2015) Agnotology and Information. Proceedings of the Association for Information Science and Technology, 52, 1-3. https://doi.org/10.1002/pra2.2015.1450520100123
[15]
Closer to Truth (2022) Video: “Jeff Tollaksen—Physics of Observation.” Closer to Truth. YouTube.
[16]
Menary, R. (2010) The Extended Mind. The MIT Press, Cambridge. https://doi.org/10.7551/mitpress/9780262014038.001.0001
