This paper presents a systematic review of the applications of artificial intelligence (AI) in assistance robots for people with disabilities, aiming to evaluate their impact on users' quality of life. The research examines various AI applications, analyzing their effectiveness and progress in areas such as mobility, social interaction, physical rehabilitation, and cognitive support. An exhaustive search was conducted in academic databases, selecting relevant studies detailing the implementation of these technologies in assistive devices.  Twenty-one key studies were identified and analyzed, demonstrating that AI-assisted robots have significantly enhanced the mobility and autonomy of people with disabilities while also contributing to their emotional and social well-being. However, several persistent gaps and challenges were identified, including the affordability of technologies, ...

This article examines how artificial intelligence (AI) is transforming digital image creation through advanced tools such as text transformation generators and style transfer technology. These tools open the door to artistic creativity and allow non-technical people to create visually appealing works using simple descriptions. The research addresses key topics such as authorship, creativity and ethical issues, and shows how artificial intelligence can augment human creativity by acting as a collaborator rather than a substitute. The results show that commercialized, easy-to-use AI tools significantly reduce barriers to entry, despite concerns about style homogeneity and technology dependence. The bottom line is that AI has a transformative role in digital art, but it also poses ethical and aesthetic challenges that must be addressed to ensure the diversity and originality of artistic exp...

This study analyzed the impact of code-generating artificial intelligences (AI), such as GitHub Copilot, on programmers' work. It aimed to determine how these tools affect productivity and code quality, differentiating their effects based on developers' experience levels. A systematic literature review and tool analysis were conducted, using the PRISMA methodology to assess experimental studies and usage reports. Results revealed that code-generating AIs improved productivity by up to 55.8% for experienced programmers, while less experienced developers exhibited increased reliance and confidence in generated code, leading to security risks. Additionally, benefits included reduced development times and democratized access to software, though ethical and technical risks related to overdependence and loss of fundamental skills were noted. These findings underscore the need for strategies th...

This article examines disparities in access to artificial intelligence (AI) across different economic sectors and geographic regions, as well as their impact on job opportunities and business competitiveness. A systematic literature review reveals significant gaps in AI adoption, where larger corporations, better equipped in terms of technology and finances, tend to benefit more from these innovations. Conversely, small and medium-sized enterprises (SMEs) and low-income regions face barriers that limit their. Such inequalities adversely affect labor equity, as workers in professions with low AI adoption increasingly face the risks of job insecurity and unemployment. Public policies and international efforts are essential to leveling the playing field in this context. Significant digital asset distribution is crucial. Initiatives like the “Digital Europe Program” have the potential to...

The impact of behavioral instructions on language models is a fundamental area of research in the field of processing for language that is human. This study focuses on analyzing how specific directions provided to language models affect their performance and efficiency on various tasks. It examines in detail the importance of instructions in the understanding for languages to be human and their influence on applications in activities such as machine translation, textual content creation, and document categorization. It discusses how behavioral instructions impact the configuration and training of models, as well as their predictive and generative capabilities. Concrete examples of how instructions can improve or limit the performance of linguistic models in different contexts are presented. The results obtained highlight the need to carefully consider behavioral instructions when develop...

The aim of this text is to simplify the analysis of various bibliographic sources that address the use of artificial intelligence in different industrial sectors. The PRISMA methodology was employed to examine articles published in different journals indexed in high-prestige databases that deal with the use of AI tools in these areas. An exhaustive literature review was conducted in Scielo and Scopus to ensure the inclusion of a broad spectrum of relevant research. This extensive review allowed for the identification of significant trends in the use of artificial intelligence in different geographical regions and specific industrial sectors. It was observed that countries such as the United States, Brazil, and Colombia stand out for their leadership in the production of articles related to AI in their respective industries. Likewise, it is noted that AI tools, such as neural networks, Ch...

This article on the ethics of artificial intelligence, based on image generation, contains a comprehensive analysis of the ethical and practical dilemmas associated with AI. In the introduction, we highlight the widespread impact of AI on human society and emphasize the importance of addressing the ethical dilemmas arising from its use, distinguishing in areas such as decision making in autonomous vehicles. The methodology proposed includes literature review, ethical self-assessment using specialized tools, and case study analysis to identify ethical and unethical patterns.  The results achieved reveal that the models are capable of generating high quality images in an ethical manner, avoiding the promotion of harmful stereotypes. However, the presence of biases and lack of transparency in the model is determined. Practical ethical considerations for the use of the model in real app...

The primary focus of this article was to employ Ultralytics technology, specifically YOLOv8, in object recognition. This involved utilizing supervised learning and other machine learning techniques. The article took into consideration the definitions of object detection and model training to effectively categorize solid waste, thereby facilitating recycling efforts. Following this, each object class was manually identified using the LabelImg tagger, considering the positions of the objects within the images. This approach led to the analysis of 1517 images and produced notably high-quality and significant results.

In this paper, an analysis of deep learning techniques for weather forecasting using statistical downscaling approaches was developed. These are important, since they allow adjusting large-scale climate projections generated by the GCM climate model to more accurate and defined forecasts for specific areas, thus allowing overcoming the limitations of traditional numerical models in the representation of local and small-scale phenomena. Studies implementing Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) were analyzed in order to improve the spatial and temporal resolution of climate data. Both tools and techniques have proven to be effective in projects such as VALUE, which is in charge of evaluating downscaling methods in Europe, and DL4DS, a Python library in charge of applying deep learning algorithms to empirical downscaling of climate data. The main obj...

This article conducts a systematic review to analyze the impact of artificial intelligence (AI) on the transformation of judicial processes, following the guidelines of the PRISMA methodology. The main objective is to assess how AI contributes to efficiency, accuracy and accessibility in the judicial field, identifying both its benefits and associated ethical challenges. Studies published between 2020 and 2024 were collected and analyzed in databases such as Scopus and SCielo, using specific search equations and previously defined inclusion and exclusion criteria. The results highlight that AI can optimize judicial processes by automating routine tasks and predictive decision making, with examples of implementation in countries such as Estonia and Singapore. However, concerns about algorithmic biases and system transparency were also identified. It is concluded that, to ensure fair and e...

Software development underwent a significant transformation through the integration of generative artificial intelligence (AI) technologies. The research set out to evaluate the influence of these technologies in different industries and their implications on development processes through a systematic analysis of their impact and implementation in various industrial sectors. The PRISMA methodology was implemented for the analysis of publications between 2022 and 2024 in the Scopus and SciELO databases, using specific inclusion criteria and key terms related to AI applications. The study revealed significant adoption in the pharmaceutical, food, dental and maxillofacial health, maritime, mining, telecommunications, mental health and medical education industries, registering a substantial increase in scientific production, which evolved from 40 documents in 2022 to 54 in 2024. The geograph...

The article explored how Artificial Intelligence (AI) and Data Science have revolutionized the creation and analysis of information by integrating advanced methodologies that overcome traditional barriers in the interpretation of complex data. Fundamental concepts and current technical and ethical challenges were addressed, highlighting the automation of the analytical lifecycle through AutoML, the implementation of explainable models and the management of algorithmic biases. The research also examined the limitations of AI in processing unstructured data and its interaction with emerging technologies such as blockchain and quantum computing. The results highlighted the importance of establishing regulations that guarantee the balance between technological innovation and the protection of human rights in a context of big data and automated decisions. It concludes by emphasizing that the ...