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Why Artificial Intelligence in Schools?

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Artificial Intelligence and Economics: the Key to the Future

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 523))

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Notes

  1. 1.

    “We can analyze the data with no assumptions about what they can show […] what matters is only the correlation between two quantities of data and no longer a theory consistent that explains this correlation”. (Benanti, 2019).

  2. 2.

    https://www.moralmachine.net/ (last seen on 3 December 2021).

  3. 3.

    https://machinelearningforkids.co.uk/ (last seen on 3 December 2021).

  4. 4.

    https://www.tensorflow.org/tutorials/keras/classification (last seen on 3 December 2021).

  5. 5.

    https://cloud.ibm.com/docs/assistant?topic=assistant-getting-started (last seen on 3 December 2021).

References

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  • Mayor A (2020) Gods and robots: myths, machines, and ancient dreams of technology. Princeton University Press

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  • Piccione A, Massa AA, Biolcati E, Labasin S, Marino T, Tomba M (2021) Formazione docenti e nuovi percorsi didattici sull'intelligenza artificiale. Atti Convegno Nazionale DIDAMATiCA

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  • Tommaso M, Paola P (2020) AI and Teaching approach in high school. In: Marino D, Monaca MA (eds) Economic and Policy Implications of Artificial Intelligence, vol 288. Studies in Systems, Decision and Control. Springer, Cham, pp 149–154. https://doi.org/10.1007/978-3-030-45340-4_12

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Correspondence to Tommaso Marino .

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Piccione, A., Paola, P., Marino, T. (2023). Why Artificial Intelligence in Schools?. In: Marino, D., Monaca, M. (eds) Artificial Intelligence and Economics: the Key to the Future. Lecture Notes in Networks and Systems, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-031-14605-3_10

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