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Towards artificial intelligence: advances, challenges, and risks

  • Autores: Ramón López de Mántaras Árbol académico
  • Localización: Mètode Science Studies Journal: Annual Review, ISSN 2174-3487, ISSN-e 2174-9221, Nº. 9, 2019 (Ejemplar dedicado a: The grounds of science), págs. 118-125
  • Idioma: inglés
  • DOI: 10.7203/metode.9.11145
  • Enlaces
  • Resumen
    • This text contains some reflections on artificial intelligence (AI). First, we distinguish between strong and weak AI, as well as the concepts related to general and specific AI. Following this, we briefly describe the main current AI models and discuss the need to provide common-sense knowledge to machines in order to advance towards the goal of a general AI. Next, we talk about the current trends in AI based on the analysis of large amounts of data, which has recently allowed experts to make spectacular progress. Finally, we discuss other topics which, now and in the future, will continue to be key in AI, before closing with a brief reflection on the risks of AI.

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