L’Intelligenza Artificiale e l’era 4.0: eticità, privacy e discriminazioni. La bibliografia

Pubblichiamo di seguito la bibliografia completa dell’articolo “L’Intelligenza Artificiale e l’era 4.0: eticità, privacy e discriminazioni”, scritto da Giovanni Vaia ed Elisa Gritti, sul numero di Luglio-Agosto 2020 di Sistemi&Impresa.

Advisory council on the ethical use of AI and Data, Singapore.

Artificial Intelligence Committee’s della UK house of lords report (2018), “AI in the UK: ready, willing and able?”, 417.

Commissione europea (2018), European group on ethics in science and new technologies:  I Principi Etici dello statement on Artifcial Intelligence, Robotics and ‘Autonomous’ Systems.

D’Alessandro B, O’Neil C., LaGatta T. (2017), “Conscientious classification: a Data scientist’s guide to discrimination-aware classification”, Big Data, 5 (2).

Floridi L. (2018), “Soft ethics, the governance of the digital and the General Data Protection Regulation. Philosophical Transactions of the Royal society.

Floridi L., Cowls J., Beltrametti M., Catila R., Chazerand P., Dignum V., Luetge C., Madelin R., Pagallo U., Rossi F., Schafer B., Valcke P., Vayena F. (2018), “AI4People. An ethical framework for a good AI society: opportunities, risks, principles, and recommendations, minds and machines”, 28, 689-707.

Future of life institute (2017), The asilomar principle

Greenfield P. (2018), “The Cambridge analytica files: the story so far”, The Guardianhttps://www.theguardian.com/news/2018/mar/26/the-cambridge-analytica-files-the-story-so-far

Lista Documenti Etica AI

Mann G., O’Neil C. (2016), “Hiring algorithms are not neutral”, Harvard Business Review https://hbr.org/2016/12/hiring-algorithms-are-not-neutral.

McKinsey (2019), Leading your organization to responsible AI.

Microsoft (2018), Responsible AI principles.

Ocse, Council recommendation on Artificial Intelligence.

Pontificia Accademia per la Vita, Ibm e Microsoft (2020), Rome Call for AI Ethics.

Smart Dubai, AI ethics principles and guidelines.

The Institute for Ethical AI & Machine learning, 8 machine learning principles of responsible AI.

Università di Montréal & Fonds de recherche du Québec (2017), Montreal Declaration.

University of Oxford, Digital Ethics Lab (2017), AI4People Proposal.

L’articolo integrale è pubblicato sul numero di Luglio-Agosto 2020 di Sistemi&Impresa.
Per informazioni sull’acquisto di copie e abbonamenti scrivi a daniela.bobbiese@este.it (tel. 02.91434400)