Inteligencia Artificial, Compliance y Derecho del Consumo Estructuras de gobernanza empresarial y estatal frente al empleo de algoritmos durante la pandemia y más allá. (Artificial Intelligence, Compliance and Consumer Law. Corporate and State Governance Structures Facing the Use of Algorithms during the Pandemic and Beyond)

2021 ◽  
Author(s):  
Hugo Acciarri ◽  
María José Azar-Baud ◽  
Maximiliano Marzetti
2020 ◽  
pp. 089443932098012
Author(s):  
Teresa M. Harrison ◽  
Luis Felipe Luna-Reyes

While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them.


2021 ◽  
Vol 129 ◽  
pp. 05002
Author(s):  
Zanda Davida

Research background: The first notable early chatbots were created in the sixties, but the growing use of artificial intelligence (AI) has powered them significantly. Studies show that basically chatbots are created and used for purposes by government and business, mostly in consumer service and marketing. The new Proposal of the Artificial intelligence act aims to promote the uptake of AI and address the risks associated with certain uses of such technology. However, the act contains only minimum transparency obligation for some specific AL systems such as chatbots. Purpose of the article: In light of this issue, the article aims to discuss how existing European Union (EU) consumer law is equipped to deal with situations in which the use of chatbots can pose the risks of manipulation, aggressive commercial practices, intrusion into privacy, exploitation of a consumer’s vulnerabilities and algorithmic decision making based on biased or discriminatory results. Methods: The article will analyse the legal framework, compare guidance documents and countries’ experiences, study results of different consumer behavior researches and scientific articles. Findings & Value added: The article reveals several gaps in current EU consumer law and discusses the flaws of proposing legislation (particularly the Proposal for an Artificial intelligence act) regarding relations between business and consumers.


1999 ◽  
Vol 23 (1) ◽  
pp. 23-44 ◽  
Author(s):  
Kathy Reeves Bracco ◽  
Richard C Richardson ◽  
Patrick M Callan ◽  
Joni E Finney

2021 ◽  
pp. 209660832198983
Author(s):  
Bo Peng

The rise of digital technology, as represented by artificial intelligence, blockchain technology, cloud computing, big data, edge computing and 5G, is not only leading a new round of economic and industrial transformation, but also reshaping society and fundamentally transforming state governance. In retrospect, almost every recent catastrophe in China has been followed by substantial advances in the Chinese internet. While the COVID-19 pandemic poses a daunting challenge for the country, it has provided an opportunity for digital technology to be deployed in the fight against it. After COVID-19, it will be important to establish a model of governance that is compatible with digital technology, so a government with digital leadership will be a standard component of a digital society. Digital leadership and state capacity are theoretically based on the same foundation. Both are organic bodies supported by digital insights, digital decision-making, digital implementation and digital guidance, with digital thinking as the basis. All aspects collaborate throughout the process of state governance to assist its modernisation. Digital competence, platforms, government and talent should be improved as part of digital leadership.


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