EthAIca (Journal)
Not a member yet
87 research outputs found
Sort by
The impact of artificial intelligence on educational transformation
Introduction: Education went through a profound transformation in the last decade, changing not only its structures and actors, but also pedagogical approaches. This evolution included the incorporation of digital technologies and artificial intelligence (AI), such as ChatGPT, which forced to rethink the role of teachers, the resources used and the objectives of teaching.Development: During this process, tensions arose between those who quickly adopted these tools and those who resisted incorporating them. Authors such as Inés Dussel and Laura Marés pointed out the need to critically appropriate technology in order to form responsible digital citizens. AI, defined as a technology capable of performing tasks that require human intelligence, was presented as a resource with great potential, but also with challenges. ChatGPT stood out for its ability to generate automated text in response to queries, which particularly appealed to high school students. However, their responses could contain errors or outdated information. For this reason, teacher training was essential. Initiatives such as the INFoD sections and surveys by the Ministry of Education of the City of Buenos Aires revealed the growing interest and need for professional training in the ethical and pedagogical use of these tools.Conclusion: The integration of AI in education required a redefinition of teaching competences. ChatGPT, far from being a threat, became an opportunity to innovate pedagogical practices, provided it was used in a critical and responsible way
E-commerce, artificial intelligence and the pandemic: a new consumer paradigm
Introduction: Over the last few years, Argentine consumer behaviour has undergone a significant change driven by technological advances and the COVID-19 pandemic. The growth in smartphone use and high level of connectivity have positioned Argentina as one of the most digitised countries, which has directly affected consumer habits. Development: A large part of the population began to research and purchase online, increasing the volume and frequency of digital transactions. In 2020, more than one million Argentines made their first online purchase, and e-commerce sales grew by 124%. The most favoured sectors were technology, food and household goods. In addition, it was noted that 91% of Argentine consumers were influenced by pre-purchase searches. In this new ecosystem, concepts such as the ‘Zero Moment of Truth’ (ZMOT) became relevant, as users began their purchasing process with digital research. At the same time, Artificial Intelligence began to play a key role in personalising experiences, improving customer service, streamlining processes and strengthening digital marketing strategies. Conclusion: Argentine digital consumers established themselves as active, informed and demanding players. Against this backdrop, companies that adopted technologies such as AI, automation and UX were better positioned in the market. This change forced brands to rethink their business models and focus on the user experience as a strategic axis.
Agriculture in the digital age: organizational challenges for the adoption of AI and Big Data
IntroductionThe article analysed how artificial intelligence (AI) and Big Data became key tools for generating competitive advantage by transforming complex data into useful information for decision-making. It highlighted that, beyond access to technology, organisations needed to adapt their structure and strategy to truly harness its potential. The research focused on the agricultural industry in Extremadura, a region with low GDP per capita and an ageing population that has traditionally been resistant to change. Development The Fourth Industrial Revolution, characterised by the rapid expansion of disruptive technologies, profoundly changed the way companies operated. In the agricultural sector, AI and Big Data made it possible to monitor crops, automate machinery and optimise resources. However, their adoption required more than just technological tools: it involved an organisational transformation that included professional training, investment in digital infrastructure and a culture of innovation. In Extremadura, the lack of university education and a preference for traditional methods limited the effective implementation of these technologies. Conclusion It was concluded that the incorporation of AI and Big Data was essential to improve the competitiveness, efficiency, and sustainability of the agricultural sector in Extremadura. However, its success depended on a profound change in organisational mindset and institutional support through public policies, training, and incentives. The key was not only in having technology, but in knowing how to integrate it strategically to transform the business model and face future challenges
Algorithmic biases in mental health diagnoses and their impact on vulnerable populations: a documentary review of advances and challenges
Algorithmic biases in mental health diagnostic systems represent a critical challenge, particularly for vulnerable populations, as they perpetuate inequities in access to and quality of care. This article aims to analyze advances and challenges in identifying and mitigating these biases through a documentary review of Spanish and English articles indexed in Scopus between 2018 and 2022. The methodology involved a systematic analysis of 50 selected studies, classified into four thematic areas: types of algorithmic biases, clinical impact on vulnerable populations, technical limitations in algorithm development, and proposed mitigation strategies. The results demonstrate that biases are deeply rooted in training data and the unequal representation of marginalized groups, leading to less accurate diagnoses for women, racialized communities, and low-income individuals. Although technical and ethical approaches have been proposed, gaps persist in their practical implementation. The study concludes that without multidisciplinary intervention integrating public health, ethics, and data science perspectives, algorithms will continue to reproduce structural inequalities. This research underscores the urgency of inclusive policies and robust regulatory frameworks to ensure equity in digital mental health
Medical Ethics in Terminal Patients: Dilemmas in the Use of AI for End-of-Life Decisions
Medical ethics in terminal patients faces unprecedented challenges with the integration of artificial intelligence (AI) in end-of-life decision-making. This article aims to analyze the ethical dilemmas arising from the use of AI in this context by exploring its implications for autonomy, dignity, and the humanization of palliative care. To this end, a literature review was conducted of articles in Spanish and English indexed in Scopus between 2018 and 2022, selecting studies that addressed the intersection of AI, bioethics, and palliative medicine. The results were organized into four thematic axes: patient autonomy and informed consent, algorithmic biases and equity in recommendations, dehumanization versus optimization of care, and legal and moral responsibility in automated decisions. It was identified that, although AI can improve the accuracy of forecasts and treatments, its implementation requires ethical safeguards to prevent the reduction of the doctor-patient relationship to a technical process. The conclusions highlight the need for regulatory frameworks that balance technological innovation with bioethical principles, prioritizing human dignity and the active participation of patients and families in end-of-life decisions
Big data and artificial intelligence for innovation in management in the agricultural industry in Extremadura
Technology behaves in a disruptive way. As the word implies, it abruptly breaks the way in which people\u27s lives unfold, mainly the organizational. Provides unique opportunities, where we can achieve dreams that were only scenes of science fiction movies, but that Today strongly impact in the world of organizations. This can be seen with autonomous vehicles, which transform the way in which transport companies formulate their business models; the holographic communication which provides the possibility of gathering directors of companies in a fraction of a second and decision making; and big data, which implies the reformulation of commercial strategies in relation to real information about consumers offered by bigdata; among others. In order to take advantage of these advances, it is necessary to pay attention to the changes and adapt correctly. The present investigation has the objective to know if agricultural companies in Extremadura, Spain are aware of the need for organizational adaptation to develop successfully in this 4th industrial revolution, mainly by incorporating big data technology. Response that will be sought through a documentary and descriptive investigation about this reality in the companies selected intentionally
The influence of Artificial Intelligence on the online consumer information search process
containment. This paper seeks to determine the aspects and qualities that the digital consumer seeks when choosing a product or brand. This within a context of a versatile and competitive market, where companies to stand out and be present in the mind of the buyer, must know the variables that influence their decisions.Together with e-commerce, technology increases day by day and is part of our lives even without being present. Artificial intelligence is a clear example of this, generating solutions for entrepreneurs and consumers, who are looking for quick, simple and safe answers. Words like Artificial Intelligence, Big Data, chatbot, cookies and privacy or manipulation issues seem to go hand in hand.This production showed the differences, points for and against the coding of data through these tools, when offering a product or service on the internet. Through a type of exploratory and descriptive research, from the perspective of the entrepreneur and the consumer, you will know the generational gap that separates the acceptance of the insecurity generated by the use of Artificial Intelligence. You will discover the relevant aspects for the sale that you must know about your client. In parallel, as a buyer, it will give you an answer to your big questions about the famous manipulation of entrepreneurs.