Ethical Marketing AI?A Structured Literature Review of the Ethical Challenges Posed by Artificial Intelligence in the Domains of Marketing and Consumer Behavior

With the increasing use of AI in marketing, ethical repercussions are beginning to emerge. From privacy issues, through discrimination of marginalized groups, to emergent systemic social distortions, AI is changing the marketing ethical landscape. In this paper we conduct a structured literature review of the emerging ethical issues posed by AI in the domains of marketing and consumer behavior. We identify three clusters of ethical issues (algorithm, society and existential) and map these to the marketing domains of systems, brands, and consumers. We conclude that the field of ethical marketing AI is still very much in its infancy, but such is the rate of development ethical marketing AI is likely to become important field for academics and practitioners alike

De-Individuation of the Modern Subject in the Age of Artificial Intelligence. The Case of Self-Driving Cars and Algorithms for Decision Making.

L'abstract è presente nell'allegato / the abstract is in the attachmen

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies

Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks are inadequate for AI-intensive companies. To fully account for contemporary technology, the following categories of evaluation will be developed and featured as vital investing criteria: autonomy, dignity, privacy, performance. With these priorities established, the larger goal is a model for humanitarian investing in AI-intensive companies that is intellectually robust, manageable for analysts, useful for portfolio managers, and credible for investors

IMPLEMENTING ETHICS INTO ARTIFICIAL INTELLIGENCE: A CONTRIBUTION, FROM A LEGAL PERSPECTIVE, TO THE DEVELOPMENT OF AN AI GOVERNANCE REGIME

The increasing use of AI and autonomous systems will have revolutionary impacts on society. Despite many benefits, AI and autonomous systems involve considerable risks that need to be managed. Minimizing these risks will emphasize the respective benefits while at the same time protecting the ethical values defined by fundamental rights and basic constitutional principles, thereby preserving a human centric society. This Article advocates for the need to conduct in-depth risk-benefit-assessments with regard to the use of AI and autonomous systems. This Article points out major concerns in relation to AI and autonomous systems such as likely job losses, causation of damages, lack of transparency, increasing loss of humanity in social relationships, loss of privacy and personal autonomy, potential information biases and the error proneness, and susceptibility to manipulation of AI and autonomous systems

Trustworthy AI Alone Is Not Enough

The aim of this book is to make accessible to both a general audience and policymakers the intricacies involved in the concept of trustworthy AI. In this book, we address the issue from philosophical, technical, social, and practical points of view. To do so, we start with a summary definition of Trustworthy AI and its components, according to the HLEG for AI report. From there, we focus in detail on trustworthy AI in large language models, anthropomorphic robots (such as sex robots), and in the use of autonomous drones in warfare, which all pose specific challenges because of their close interaction with humans. To tie these ideas together, we include a brief presentation of the ethical validation scheme for proposals submitted under the Horizon Europe programme as a possible way to address the operationalisation of ethical regulation beyond rigid rules and partial ethical analyses. We conclude our work by advocating for the virtue ethics approach to AI, which we view as a humane and comprehensive approach to trustworthy AI that can accommodate the pace of technological change

the admissibility of AI- generated evidence

Durante as duas últimas décadas, a Inteligência Artificial tornou-se uma presença constante nas nossas vidas. Ao impactar setores relevantes da sociedade, tem relevando o seu caráter disruptivo, sendo um dos motores impulsionadores da Quarta Revolução Industrial. A Inteligência Artificial além dos seus presentes benefícios para a humanidade, promete soluções inovadoras para os problemas que afligem a sociedade contemporânea, porém a mesma comporta uma duplicidade de efeitos. Os sistemas de Inteligência Artificial pela sua capacidade de monitorizar o seu ambiente circundante, e autonomamente recolher, processar dados, aprender e agir, podem concretizar riscos para os direitos fundamentais, principalmente no contexto da justiça criminal. Esta análise irá focar-se nas especificidades dos sistemas dotados de Inteligência Artificial, aprofundando a temática da admissibilidade da prova gerada por Inteligência Artificial no quadro probatório do Direito Processual Penal Português à luz dos direitos de defesa do arguido e dos seus princípios que norteadores.During the last two decades Artificial Intelligence became ubiquitous in our lives. Revealing itself as a disruptive technology, it is already impacting important sectors of society, being a driver of the Fourth Industrial Revolution. Artificial Intelligence is benefiting humanity, and promises innovative solutions to modern-life problems, nevertheless it has a twofold effect. Artificial Intelligence as systems that are capable to monitor their surrounding environment, autonomously collect and process data, learn and act, may constitute harm to fundamental rights, mainly when deployed to criminal justice. This analysis will focus on the specificities of Artificial Intelligence systems, delving into the admissibility of AI-generated evidence in the Portuguese criminal evidentiary framework in light of the defence rights and structuring principles of Portuguese criminal procedure