
La IA borra las líneas entre datos reales y sintéticos. Una gobernanza sólida es clave
El uso de datos sintéticos requiere un enfoque específico de gobernanza por parte de las empresas – distinto de la gobernanza de la IA.
Arun Sundararajan is the Harold Price Professor of Entrepreneurship and Director of the Fubon Center for Technology, Business and Innovation at New York University’s (NYU) Stern School of Business. His best-selling and award- winning book, “The Sharing Economy,” published by the MIT Press in 2016, has been translated into Mandarin Chinese, Japanese, Korean, Portuguese, and Vietnamese. He has published over 50 peer-reviewed scientific papers and over 40 op-eds. He has testified about digital regulation to legislative bodies that include the US Congress and the European Parliament. He advises companies globally about AI governance and digital strategy. He holds degrees from the Indian Institute of Technology and the University of Rochester. He is an occasional angel investor.
El uso de datos sintéticos requiere un enfoque específico de gobernanza por parte de las empresas – distinto de la gobernanza de la IA.
The use of synthetic data requires businesses to take a tailored approach to governance, separate from broader artificial intelligence (AI) governance.

