Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Chabot, E.; Jaworski, E.; Renaud, P.
Pervasive Teledildonics: How AI Aims to Impact Human sexuality Article d'actes
Dans: Proc. - IEEE/WIC Int. Conf. Web Intell. Intell. Agent Technol., WI-IAT, p. 898–903, Institute of Electrical and Electronics Engineers Inc., Bangkok, Thailand, 2024, ISBN: 979-833150494-6 (ISBN).
Résumé | Liens | BibTeX | Étiquettes: Ambient intelligence, Anthropomorphic robots, Artificial intelligence, Artificial life, Capability awareness, Computing capability, Context- awareness, Cyber security, Human machine interaction, human-machine interactions, Humans-robot interactions, Industrial robots, Intelligent computing, Intelligent robots, Intelligent systems, Monitoring change, pervasive computing, Robot learning, Sexual satisfaction, sexual technologies, Sexual technology, Social robots, Teledildonic, teledildonics
@inproceedings{chabot_pervasive_2024,
title = {Pervasive Teledildonics: How AI Aims to Impact Human sexuality},
author = {E. Chabot and E. Jaworski and P. Renaud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007140928&doi=10.1109%2FWI-IAT62293.2024.00146&partnerID=40&md5=0e1c4d50642661b589db24542641bdf0},
doi = {10.1109/WI-IAT62293.2024.00146},
isbn = {979-833150494-6 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE/WIC Int. Conf. Web Intell. Intell. Agent Technol., WI-IAT},
pages = {898–903},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
address = {Bangkok, Thailand},
abstract = {Since the Covid-19 pandemic, sexual technology sales have increased all over the world, especially for devices allowing users to connect with each other or the internet. The convergence of sexualtechnology with pervasivecomputing and artificial intelligence (AI) introduces a new era of human-robot interactions. Sexual technology, ranging from smart sex toys to humanoid sex robots, now incorporates pervasive computing principles and/or AI to enhance intimate experiences. These devices leverage ubiquitous computing capabilities, adaptability, and context awareness to increase sexual satisfaction and integrate into users' lives. The integration of these technologies into intimate interactions raises questions on how these changes will affect different Webs of Life, in eluding but not limited to, the Web of People, the Web of Things and the Web of Health. From health and cybersecurity risks to the reshaping of human-human and human-robot interactions, this paper addresses the challenges at the intersection of sexual technologies, pervasive computing, AI and human-machine interactions. Emphasizing the importance of monitoring changes and increasing cybersecurity to create safe, consensual, and secure intimate experiences. © 2024 IEEE.},
keywords = {Ambient intelligence, Anthropomorphic robots, Artificial intelligence, Artificial life, Capability awareness, Computing capability, Context- awareness, Cyber security, Human machine interaction, human-machine interactions, Humans-robot interactions, Industrial robots, Intelligent computing, Intelligent robots, Intelligent systems, Monitoring change, pervasive computing, Robot learning, Sexual satisfaction, sexual technologies, Sexual technology, Social robots, Teledildonic, teledildonics},
pubstate = {published},
tppubtype = {inproceedings}
}
Since the Covid-19 pandemic, sexual technology sales have increased all over the world, especially for devices allowing users to connect with each other or the internet. The convergence of sexualtechnology with pervasivecomputing and artificial intelligence (AI) introduces a new era of human-robot interactions. Sexual technology, ranging from smart sex toys to humanoid sex robots, now incorporates pervasive computing principles and/or AI to enhance intimate experiences. These devices leverage ubiquitous computing capabilities, adaptability, and context awareness to increase sexual satisfaction and integrate into users' lives. The integration of these technologies into intimate interactions raises questions on how these changes will affect different Webs of Life, in eluding but not limited to, the Web of People, the Web of Things and the Web of Health. From health and cybersecurity risks to the reshaping of human-human and human-robot interactions, this paper addresses the challenges at the intersection of sexual technologies, pervasive computing, AI and human-machine interactions. Emphasizing the importance of monitoring changes and increasing cybersecurity to create safe, consensual, and secure intimate experiences. © 2024 IEEE.
2.
Khosrojerdi, F.; Akhigbe, O.; Gagnon, S.; Ramirez, A.; Richards, G.
Integrating artificial intelligence and analytics in smart grids: a systematic literature review Article de journal
Dans: International Journal of Energy Sector Management, vol. 16, no 2, p. 318–338, 2022.
Résumé | Liens | BibTeX | Étiquettes: Advanced Analytics, Automation, Building energy consumption, Data Analytics, Design/methodology/approach, Dynamic energy managements, Electric power system control, Electric power transmission networks, Energy management, Energy management systems, Energy utilization, Extract, Home energy management systems, Information management, Intelligent systems, Project management, quality control, Real time systems, SCADA systems, Smart power grids, Solar buildings, Supervisory control and dataacquisition systems (SCADA), System stability, Systematic literature review, transform and loads, Voltage stability assessment
@article{khosrojerdi_integrating_2022,
title = {Integrating artificial intelligence and analytics in smart grids: a systematic literature review},
author = {F. Khosrojerdi and O. Akhigbe and S. Gagnon and A. Ramirez and G. Richards},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112559126&doi=10.1108%2fIJESM-06-2020-0011&partnerID=40&md5=7052f94c993368405955c1d33d87043c},
doi = {10.1108/IJESM-06-2020-0011},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Energy Sector Management},
volume = {16},
number = {2},
pages = {318–338},
abstract = {Purpose: The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) in energy smart grid projects. Empirical results are synthesized to highlight their relevance from a technology and project management standpoint, identifying several lessons learned that can be used for planning highly integrated and automated smart grid projects. Design/methodology/approach: A systematic literature review leads to selecting 108 research articles dealing with smart grids and AIA applications. Keywords are based on the following research questions: What is the growth trend in Smart Grid projects using intelligent systems and data analytics? What business value is offered when AI-based methods are applied? How do applications of intelligent systems combine with data analytics? What lessons can be learned for Smart Grid and AIA projects? Findings: The 108 selected articles are classified according to the following four research issues in smart grids project management: AIA integrated applications; AI-focused technologies; analytics-focused technologies; architecture and design methods. A broad set of smart grid functionality is reviewed, seeking to find commonality among several applications, including as follows: dynamic energy management; automation of extract, transform and load for Supervisory Control And Data Acquisition (SCADA) systems data; multi-level representations of data; the relationship between the standard three-phase transforms and modern data analytics; real-time or short-time voltage stability assessment; smart city architecture; home energy management system; building energy consumption; automated fault and disturbance analysis; and power quality control. Originality/value: Given the diversity of issues reviewed, a more capability-focused research agenda is needed to further synthesize empirical findings for AI-based smart grids. Research may converge toward more focus on business rules systems, that may best support smart grid design, proof development, governance and effectiveness. These AIA technologies must be further integrated with smart grid project management methodologies and enable a greater diversity of renewable and non-renewable production sources. © 2021, Emerald Publishing Limited.},
keywords = {Advanced Analytics, Automation, Building energy consumption, Data Analytics, Design/methodology/approach, Dynamic energy managements, Electric power system control, Electric power transmission networks, Energy management, Energy management systems, Energy utilization, Extract, Home energy management systems, Information management, Intelligent systems, Project management, quality control, Real time systems, SCADA systems, Smart power grids, Solar buildings, Supervisory control and dataacquisition systems (SCADA), System stability, Systematic literature review, transform and loads, Voltage stability assessment},
pubstate = {published},
tppubtype = {article}
}
Purpose: The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) in energy smart grid projects. Empirical results are synthesized to highlight their relevance from a technology and project management standpoint, identifying several lessons learned that can be used for planning highly integrated and automated smart grid projects. Design/methodology/approach: A systematic literature review leads to selecting 108 research articles dealing with smart grids and AIA applications. Keywords are based on the following research questions: What is the growth trend in Smart Grid projects using intelligent systems and data analytics? What business value is offered when AI-based methods are applied? How do applications of intelligent systems combine with data analytics? What lessons can be learned for Smart Grid and AIA projects? Findings: The 108 selected articles are classified according to the following four research issues in smart grids project management: AIA integrated applications; AI-focused technologies; analytics-focused technologies; architecture and design methods. A broad set of smart grid functionality is reviewed, seeking to find commonality among several applications, including as follows: dynamic energy management; automation of extract, transform and load for Supervisory Control And Data Acquisition (SCADA) systems data; multi-level representations of data; the relationship between the standard three-phase transforms and modern data analytics; real-time or short-time voltage stability assessment; smart city architecture; home energy management system; building energy consumption; automated fault and disturbance analysis; and power quality control. Originality/value: Given the diversity of issues reviewed, a more capability-focused research agenda is needed to further synthesize empirical findings for AI-based smart grids. Research may converge toward more focus on business rules systems, that may best support smart grid design, proof development, governance and effectiveness. These AIA technologies must be further integrated with smart grid project management methodologies and enable a greater diversity of renewable and non-renewable production sources. © 2021, Emerald Publishing Limited.