TRANSLATOR TASK 8

 TRANSLATOR: PABLO 

 


CONCEPTS

In this eighth task we chose the following concepts, the first one is related to the geek component, the second one is focused on the methodological-pedagogical aspect and the other two concepts are related to the theoretical framework.

Geek component: AI Bias Awareness

AI systems can reflect human biases, leading to stereotypes or incomplete information. Recognizing and analyzing AI biases helps users critically evaluate AI-generated content.

References
American Consortium for Equity in Education. (n.d.). Ethical AI Practices. Retrieved from UNESCO.
    

Methodological-pedagogical aspect: Critical Thinking in AI Use

Teaching students to use AI as a research tool rather than a source of direct answers fosters critical thinking and enhances their writing and analytical skills.

References
American Consortium for Equity in Education. (n.d.). Ethical AI Practices. Retrieved from UNESCO.
    

Theoretical framework: Ethical AI practices and Respecting Privacy and Consent 

- Ethical AI practices: 
    Ethical AI practices ensure AI is developed and used responsibly, prioritizing fairness, transparency, accountability, and human rights (Floridi & Cowls, 2019). AI should avoid bias, protect privacy, and be explainable to users (Danks & London, 2017). Developers must take responsibility for AI’s impact and ensure it benefits society rather than causing harm (Russell, 2019).

References
Danks, D., & London, A. J. (2017). Algorithmic bias in autonomous systems. Proceedings of the 26th International Joint Conference on Artificial Intelligence, 4691–4697.

Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1

Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking.

- Respecting Privacy and Consent:

Respecting privacy and consent in ethical AI use involves ensuring that AI systems are designed to protect individuals' personal information and that users give informed, voluntary consent for their data to be used. This includes being transparent about data collection, ensuring it is done legally, and allowing users to revoke consent at any time. The focus is on safeguarding privacy, minimizing data use, and preventing harm.

References:
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI ethics. Harvard Data Science Review
Gillespie, T. (2018). Algorithmic design and the ethics of information systems. Wiley-Blackwell.

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