My research interests encompass AI Ethics in business, Society, and Economic Growth. Currently, I am working in the following projects:
- The Ethics of Artificial Intelligence
Our 2022 article, “A survey of AI ethics in business literature: Maps and trends between 2000 and 2021,” published in Frontiers in Psychology, maps the state of the art, identifies trends, and highlights the main ethical schools of thought in the literature of AI in the business field. Additionally, it groups ethical concerns into 5 clusters, which include 1) Foundational Issues, 2) Privacy, 3) Algorithmic Bias, 4) Employment & Automation, and 5) Social Media & Public Discourse. These categories guide our current research work. You can access the Article in open access, a Keynote Lecture Streaming, and the poster presented at the 2023 SBE Annual Conference here.
- Ethics of Conversational AI: Language Models & Chatbots
Our initial research in this field resulted in the paper titled “ChatGPT: More than a ‘Weapon of Mass Deception’ Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective.” Our ongoing research involves examining the impact of this technology on education and identifying best practices to establish guidelines for its fair use. The first works on this research line are available here: Original Manuscript (Preprint) | Article published by Taylor & Francis in the International Journal of Human-Computer Interaction (2023): https://doi.org/10.1080/10447318.2023.2225931
- Facebook’s Privacy Practices: Compliance, Integrity, and Excellence
In this work, I analyze the practices carried out by Meta/Facebook regarding the protection of users’ privacy. Specifically, I examine three conditions: compliance with the law, integrity, and excellence. This work aims to identify the virtues required for an organization to achieve excellence in its user data management practices and to contribute with human flourishing.
- Metamorphosis: Facebook’s Strategic Transformation into Meta
Facebook is the most widely used social media platform, with various strategies to maintain its growth and adapt to market changes and user preferences, such as acquisitions and adopting features from competitors. Using the VIP (Value, Imitation, and Perimeter) framework by Frédéric Fréry (2006), this book chapter analyzes the company’s actions to address the endogenous and exogenous challenges arising in recent years from a strategic management perspective. Forthcoming chapter in the book “Strategic Change in Great Volatility,” edited by Karol M. Klimczak and Yochanan Shachmurove, published by Edward Elgar Publishing, scheduled for release in 2024.
- From Centripetal to Centrifugal: The AI-Driven Shift Toward Political Extremes in the Age of Social Media
Historically, political inertia acted as a centripetal force, drawing politicians toward the moderate center to appeal to a broad electorate and fostering stability within democratic societies. However, recent trends indicate a reversal of this dynamic, with political forces now propelling leaders and societies toward ideological extremes (e.g., populism, nationalism). This shift has facilitated the emergence of a new global wave of authoritarian leaders who ascend to power through democratic means but promptly erode democratic norms upon assuming office. They dismantle institutions, undermine checks and balances, and cultivate widespread support by exploiting artificial intelligence (AI) to propagate disinformation. This deepens societal polarization, erodes social trust, and exacerbates the waning faith in liberal democratic systems. This research project explores the relationship between social media, AI, and the rise of political extremism. Platforms initially seen as tools for democratization have evolved into mechanisms that exploit cognitive biases, disseminate misinformation, and fuel societal divisions. The project aims to understand how AI and social media contribute to these political extremes and to develop strategies to mitigate their harmful effects on democratic processes.
