7.3: Teaching AI Ethics

Teaching AI Ethics · LibreTexts

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    From LibreTexts, under CC BY-NC 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    • History: How does datafication impact the way we study and interpret historical events? How can we ensure the validity of data-driven historical research and avoid misrepresentations of the past?
    • English: How does datafication influence the way literature is analysed and interpreted? What are the ethical implications of using data-driven methods to study literary works and promote academic integrity?
    • Mathematics: How has datafication transformed the study of mathematics and careers in maths? How can we ensure ethical data collection and analysis in mathematical research?
    • Environmental Science: How does datafication impact the study of environmental systems and the interactions between humans and the environment? What are the ethical considerations in using data-driven methods to analyse environmental issues and promote sustainable solutions?
    • Visual Arts: How does datafication influence the creation, interpretation, and distribution of visual art? What are the ethical implications of using data-driven methods in artistic practice, and how can we promote integrity in digital art creation and distribution?
    • Geography: How does datafication impact the study of geographical patterns and processes? What are the ethical considerations in using data-driven methods to analyse and interpret geographical information?

    This page titled 7.3: Teaching AI Ethics was last modified on Sat, 01 Jun 2024 21:58:26 GMT and is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Leon Furze via source content that was edited to the style and standards of the LibreTexts platform.