Vázquez, MAPallois, JPDebbah, MMasouros, CKenyon, TDeng, YMekuria, FissehaPeres-Neira, AErfanian, J2023-09-202023-09-202019-09Vázquez, M., Pallois, J., Debbah, M., Masouros, C., Kenyon, T., Deng, Y., Mekuria, F. & Peres-Neira, A. et al. 2019. Deploying artificial intelligence in the wireless infrastructure: The challenges ahead. http://hdl.handle.net/10204/13074 .978-1-7281-3627-1978-1-7281-3628-8DOI: 10.1109/5GWF.2019.8911693http://hdl.handle.net/10204/13074The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data.AbstractenArtificial intelligenceAIMachine learningWireless infrastructureConference PresentationVázquez, M., Pallois, J., Debbah, M., Masouros, C., Kenyon, T., Deng, Y., ... Erfanian, J. (2019). Deploying artificial intelligence in the wireless infrastructure: The challenges ahead. http://hdl.handle.net/10204/13074Vázquez, MA, JP Pallois, M Debbah, C Masouros, T Kenyon, Y Deng, Fisseha Mekuria, A Peres-Neira, and J Erfanian. "Deploying artificial intelligence in the wireless infrastructure: The challenges ahead." <i>Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019</i> (2019): http://hdl.handle.net/10204/13074Vázquez M, Pallois J, Debbah M, Masouros C, Kenyon T, Deng Y, et al, Deploying artificial intelligence in the wireless infrastructure: The challenges ahead; 2019. http://hdl.handle.net/10204/13074 .TY - Conference Presentation AU - Vázquez, MA AU - Pallois, JP AU - Debbah, M AU - Masouros, C AU - Kenyon, T AU - Deng, Y AU - Mekuria, Fisseha AU - Peres-Neira, A AU - Erfanian, J AB - The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data. DA - 2019-09 DB - ResearchSpace DP - CSIR J1 - Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019 KW - Artificial intelligence KW - AI KW - Machine learning KW - Wireless infrastructure LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-7281-3627-1 SM - 978-1-7281-3628-8 T1 - Deploying artificial intelligence in the wireless infrastructure: The challenges ahead TI - Deploying artificial intelligence in the wireless infrastructure: The challenges ahead UR - http://hdl.handle.net/10204/13074 ER -23299