IM+io Fachmagazin, Ausgabe 4/ 2024

Automatisch besser? KI zwischen Effizienzschub und ethischen Fragen

Literaturhinweise:

[1] Asaro, Peter M. (2016). The Liability Problem for Autonomous Artificial Agents. In Lin, P.; Abney, K.; Jenkins, R. (Eds.), Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence (pp. 125-140). Oxford University Press.

[2] Bishop, Christopher M. (2006). Pattern Recognition and Machine Learning. Springer.

[3] Bostrom, Nick (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.

[4] Bostrom, Nick; Yudkowsky, Eliezer. (2014). The Ethics of Artificial Intelligence. In F. M. Ramsey (Ed.), Cambridge Handbook of Artificial Intelligence (pp. 316-334). Cambridge University Press.

[5] Brock, Jochen K.-U.; Wangenheim, Florian; Bradlow, Erik T. (2019). Artificial Intelligence in Customer-Facing Applications: An Overview and Research Agenda. Marketing Letters, 30(3), 323-336.

[6] Brynjolfsson, Eric, McAfee, Andrew (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.

[7] Castellano, Nicola; Felden, Carsten; Pinsker, Robert (2022): Shadow IT Behavior of Financial Executives in Germany and Italy, in: Hawaii International Conference on System Sciences (HICSS), 2022.

[8] Davenport, Thomaas H.; Kirby, Julia (2016). Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.

[9] Davenport, Thomas H.; Ronanki, Rajeev (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.

[10] Dittmar, Carsten; Felden, Carsten; Finger, Ralf; Scheuch, Rolf; Tams, Lars (Hrsg.) (2016). Big Data – Ein Überblick, dpunkt-Verlag, Heidelberg.

[11] Felden, Carsten (2022a): Data Platform. TDWI E-Book. SIGS DATACOM GmbH, Troisdorf, 2022.

[12] Felden, Carsten (2022b): Automated AI. TDWI E-Book. SIGS DATACOM GmbH, Troisdorf, 2022.

[13] Felden, Carsten (2019). Artificial-Intelligence, TDWI E-Book. SIGS DATACOM GmbH, Troisdorf. 

[14] Felden, Carsten (2018). Artificial Intelligence – Zusammenspiel des Maschinellen Lernens mit Künstlicher Intelligenz, TDWI E-Book. SIGS DATACOM GmbH, Troisdorf. 

[15] Felden, Carsten; Schöne, Anton (2023). Facetten eines holistischen AI-Governance-Modells – Einflüsse durch AI-Lebenszyklus und AI-Stakeholder. TDWI eBook.

[16] Gasser, Urs; Scherer, M. Uli (2016). A Layered Model for AI Governance. IEEE Internet Computing, 21(6), 58-62.

[17] Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). Deep Learning. MIT Press.

[18] Groover, Mikell P. (2020). Automation, Production Systems, and Computer-Integrated Manufacturing (5th ed.). Pearson.

[19] Haneke, Uwe; Trahasch, Stefan; Zimmer, Michael; Felden, Carsten (2019). Data Science, dpunkt.verlag, Heidelberg.

[20] Kaplan, Andreas; Haenlein, Michael (2019). Siri, Siri, in my Hand: Who’s the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence. Business Horizons, 62(1), 15–25.

[21] Manyika, James; Chui, Michael; Bughin, Jacques; Dobbs, Richard; Bisson, Peter; Marrs, Alex (2013). Disruptive Technologies: Advances that Will Transform Life, Business, and the Global Economy. McKinsey Global Institute.

[22] Marr, Bernard (2018). Data-Driven Thinking: How Artificial Intelligence Is Changing the Future of Business. Kogan Page.

[23] Russell, Stuart; Norvig, Peter (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

[24] Siciliano, Bruno; Khatib, Oussama (2016). Springer Handbook of Robotics. Springer.

[25] Tegmark, Max (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. Knopf.