Everything is interpretation. Teaching assistant and PhD student in software engineering, Universidad de la República. Theater clown student.
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ALT Margaret Hamilton is reclined inside a NASA spacecraft module, surrounded by control panels and switches.
ALT Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews (SLRs). However, while capable of summarizing text, there is no guarantee they can meet the rigour, reliability, and transparency that SLRs require. Objectives: To support researchers intending to conduct SLRs using GenAI or those conducting empirical studies evaluating how well GenAI supports SLR tasks. Methods: First, we conducted a rapid review to identify studies that propose guidelines for evaluating and using GenAI and LLMs to support SLRs. Second, we drew on thought experiments, relevant guidance from the literature, and our own experience conducting SLRs and evaluating tools to develop recommendations for how to use and assess GenAI in the context of SLRs. Results: We discuss the problems researchers face when evaluating GenAI for SLRs. We identify and explain process issues to consider when planning
ALT Government agencies are major software developers and drivers of digital transformation, yet empirical evidence on their software engineering (SE) practices remains largely unexplored. This paper reports three rapid reviews of 2024 peer reviewed publications to assess the availability of evidence on government SE practices. We examined a subset of top tier international SE venues, regional South American SE conferences, and a curated newsletter on public sector digitalization. Across 984 screened papers, we identified only four studies reporting on SE practices conducted by, for, or in collaboration with government bodies, most published in regional venues as experience reports or case studies. Our findings are consistent with practitioners' perceptions that academic evidence on government SE practices has low visibility in mainstream SE venues. We discuss implications including the need for dedicated publication venues, incentives for government academia collaboration, and improved me
ALT 173. This distorted view of the human person is reflected today in various forms of servitude directly linked to the digital economy. Nothing in the world of AI is immaterial or magical. Every seemingly immediate and flawless response is the result of a long chain of mediation, involving vast networks of natural resources, energy infrastructure and, above all, people. ...It is not enough to invoke efficiency, nor to celebrate the benefits of innovation, if they are built on a chain of exploitation that remains deliberately hidden. If technology promises emancipation, yet produces new forms of global subordination, it stands in contradiction to the fundamental principle of human dignity.
ALT 178. Even today, colonialism assumes new forms. It no longer dominates only bodies, but appropriates data, transforming personal lives into exploitable information. Entire regions, especially those marked by structural fragility and limited geopolitical relevance, are currently subjected to a new mindset of extraction...Here lies one of the most urgent moral challenges of our time: to ensure that shared knowledge becomes a true common good rather than an instrument of dominance. This requires restoring to individuals not only the data that describes them, but also the ability to decide how it is used, by whom and for whose benefit. Otherwise, the digital age will not be post-colonial, but colonial in another form.
