commbox Artificial Intelligence & Algorithms

Artificial Intelligence & Algorithms

Filter

363

Sort by:

Direction:

Download (57)

Standardization of AI Ethics: Stakeholders, Values and Profit

Nicholas Kluge Corrêa, Julia Maria Mönig (eds.)

Bielefeld: transcript Verlag (2026), 161 pp.

"[...] what a certification could look like is only one of the questions that should be asked when discussing ethical certification of AI. Furthermore, how all potentially concerned parties (stakeholders) can be included, which values might be affected, and what this means for those actors who (righ ... tfully) need and want to profit from AI applications were central questions that the philosophy team of the KI. NRW-flagship project „Zertifizierte KI“ (Certified AI) investigated. Further key questions raised in the contributions and throughout the project period include: Can ethics be standardized? Who audits the auditors? How can auditing institutions be aligned with actual societal concerns? What can an assessment look like for a specific area (e.g., human resources)? How are law and ethics intertwined? Which contribution can philosophy provide, now that there is a European regulation on Artificial Intelligence (e.g., in the discussion whether robots in elderly care should be considered as deceptive technology under the AI Act)? Finally, what role do standardization bodies play in ensuring trustworthy AI? Answers to these questions are presented in this book, as well as in the project’s central outcomes: the 'Catalogue of General Ethical Requirements for AI Certification' and the 'Catalogue of Field-Specific Requirements for AI Certification'. The 'Catalogue of General Ethical Requirements for AI Certification' provides a structured framework for trustworthy AI development, identifying overarching ethical requirements for AI certification and outlining six ethical values: fairness, privacy, robustness, sustainability, transparency, and truthfulness. For each value, the project team researched existing tools, metrics, and approaches to help developers, programmers, and other practitioners build trustworthy AI systems. The 'Catalogue of Field-Specific Requirements for AI Certification' offers a list of requirements, an ethical stakeholder analysis, and a discussion of potential value tensions for six exemplary fields: arts, biometric profiling, industry and critical infrastructure, law enforcement, medicine and care and social media, a list of requirements, an ethical stakeholder analyses and a discussion of potential value tensions. The volume at hand collects the contributions to the final conference of the sub-project philosophy of the KI.NRW-Flagship-Projekt “Zertifizierte KI”. (Introduction, pages 11-12) more

External Link (157)

AI is here. Are we ready?

Eva-Maria Verfürth et al.

D+C: Development and Cooperation, issue 4 (2026), pp. 31-58

"AI is already having a profound impact on our daily lives. The key question is who controls the technology. It is not only in conflicts that AI accelerates the spread of deceptively realistic fakes and makes it harder to distinguish reliable information from manipulation. At the same time, it opens ... more

External Link (125)

Google Scholar (152)

WorldCat (134)

Communicating Sustainable Development Goals in the Age of Artificial Intelligence

Muhammad Jameel Yusha'u

Palgrave Macmillan (2026), xlvii, 523 pp.

"This book is the first scholarly work dedicated to examining the complex relationship between artificial intelligence and communicating the UN Sustainable Development Goals. Moving beyond techno-optimist narratives, the book advances a critical theoretical intervention: the AI Sustainability Exclus ... more

External Link (136)

Advancing Open Source AI in India: Recommendations for Governments & Technology Developers

Aarushi Gupta, Anushka Jain, Urvashi Aneja, Shreeja Sen

Bonn; Delhi; Noida (IN): Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward – Artificial Intelligence for All; NASSCOM (2026), 80 pp.

"[...] this brief positions open source AI as a strategic policy option within India’s evolving AI ecosystem. It unpacks the critical importance of openness for India’s digital future, crystallising the key opportunities it offers to governments and developers alike. In doing so, it also explore ... more

External Link (205)

The People-Centered AI Playbook. Playbook Capsule

Dalberg Data Insights (2026), 44 pp.

"This people-centered playbook [...] is designed to give you the essentials of AI adoption in a quick, accessible format, with core concepts, foundational steps, and key frameworks without overwhelming detail. Built for impact-driven teams in low-resource or non-tech-first contexts, it answers the m ... more

Download (2)

Taking a Look at the most common AI myths & debunking them the Superrr way!

Berlin: SUPERRR (2026), 22 pp.

"How do we want to use technology, and when do we hit the brakes? As part of our work in 2026, we held 14 public-facing “AI mythbusting” sessions at libraries across Berlin, Germany. We were astonished by the strong public response and clear need for judgement-free spaces to talk about AI. Colle ... more

External Link (158)

Toward AI Governance Alignment in Africa, Middle East, and Türkiye (AMET) Region

Emma Ruttkamp-Bloem, Fola Adeleke, Jake Effoduh, Kebene Wodajo, Nagla Rizk, Olubayo Adekanmbi, Rachel Adams, Rami Alkarmi, Seani Rananga, Seydina Ndiaye, Shikoh Gitau, Tami Koroye

Global Center on AI Governance (GCG) (2026), 54 pp.

"The analysis begins by identifying the core “centric approaches” that guide Artificial Intelligence (AI) national strategies. These include security-anchored models driven by state control, innovation-led frameworks that prioritise competitiveness, rights-based regimes centred on fundamental pr ... otections, and developmental approaches focused on public service delivery and technological catch-up. Each approach expresses incentives, risk perceptions and administrative capacities. Out of these foundational choices, there are different groupings. Various regions within AMET are adopting recognisable patterns of regulation that reflect their political economies, institutional structures and geopolitical positions. These groupings are not static categories, but evolving alignments shaped by domestic pressures, supply-chain dependencies and shifting global power dynamics. Across all regions, a set of cross-cutting issues consistently shapes the regulatory landscape. Data protection and interoperability remain central, alongside growing demands for accountability, explainability and robust auditing. Standards and certification are emerging as tools for both trustbuilding and geopolitical influence. Sector-specific rules in finance, health, education and public administration are increasingly decisive. Capacity constraints, fiscal limits and uneven institutional strength continue to define what is realistically possible for many governments. Geopolitical tensions and cloud concentration reinforce questions around sovereignty, infrastructure control and long-term strategic autonomy. This report translates these insights into practical implications for states, regional bodies and technology firms. It highlights workable pathways for reconciling innovation with safety, managing cross-border data flows, and building resilient digital infrastructure. It also identifies areas where architecture choices such as regional cloud centres, culturally calibrated testing layers and tiered sovereignty models can support both regulatory goals and developmental priorities. The recommendations emphasise flexible alignment, cooperation through standards, and the need for shared mechanisms that accommodate political diversity while reducing fragmentation. Taken together, the framework provides a stable and operational way of understanding global AI regulation. It clarifies the interests driving different jurisdictions, the pressures that shape convergence or divergence, and the strategic considerations that technology firms and policymakers must navigate as the regulatory environment continues to evolve." (Executive summary) more

Download (90)

Reinventing Humanitarian Aid Procurement for the Age of AI

Giulio Coppi

Access Now (2026), 59 pp.

"Our research reveals that the organisational use of AI and algorithmic systems often happens through a process of unstructured integration rather than formal adoption. More precisely, cloud-based, algorithmic-enhanced functionalities and processes are making their way into humanitarian entitiesʼ t ... ech stack through updates and add-ons to preexisting products, slowly but inexorably seeping into most internal systems. A price-based procurement process designed around the static idea of digital asset purchase is inadequate to ensure adequate protection from hyperdynamic tech product development. This is especially evident looking at the growing power imbalances between private actors and nonprofits, and among nonprofits themselves. Digital technology is often heralded as key to democratise and equalise the playing field between humanitarian actors, by finally unlocking local actorsʼ access to resources traditionally reserved for international entities. But emerging trends seem to disprove such claims. The lack of adequate legal frameworks and safeguards, lagging investments in humanitarian funding for information and communication technology (ICT) resources and connectivity, and inadequate dedicated funding for digital programmes are thwarting these opportunities. More broadly, virtuous and responsible procurement practices are proving inadequate for protecting human rights alone, as tech companiesʼ commitments to human rights are replaced by defence-oriented pitches and the size of their human rights teams keeps shrinking. Preexisting digital divides are enhanced by several deep and subtle changes in traditional tech business models, resulting from the gradual cloudification of most common digital systems and the fast-paced, distributed nature of modern digital development. Even more worryingly, we are seeing new forms of digital divide well beyond the traditional gaps in digital capacity between local and small non-governmental organisations (NGOs) and international non-governmental organisations (INGOs) or UN entities. Cloud-based companiesʼ takeover of generic coordination platforms creates a constantly broadening chasm between the few organisations that are digitally mature, those who are barely retrofitting their processes to fit the new reality, and the broad majority forced to access the promised land of digital humanitarianism through the predatory gates of algorithmic and cloud servicesʼ free tech licensing. Our findings highlight how organisation-led digital development, building on open-source systems (despite some “openwashing” practices) and trusted external providers, remains the best option for risk reduction when it comes to algorithmic systems. However, in the short to medium term, this might not be financially and technically feasible for the majority of humanitarian actors, especially considering the catastrophic funding environment. To fill this gap, we propose a toolkit in an appendix to this report. This is a foundational governance model for transforming digital procurement from a transactional into a strategic business function, integrated across key organisational departments. By doing so, protection-mandated aid groups could move from running purchase-centred processes, to adopting a dynamic, proactive, and rights-based approach to tech management. This report also contains a set of recommendations for states and donors, the humanitarian community, tech companies, local aid actors and communities, research centres, and cyber experts." (Executive summary, pages 2-3) more

External Link (127)

Invisible Workers, Visible Harms: Perils and Precarities of AI Labour

Aapti Institute

Bonn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2026), 40 pp.

"Across South Asia, Southeast Asia, and Sub-Saharan Africa, data workers operate within fragmented and opaque supply chains characterised by informal employment arrangements, limited social protections, and a profound imbalance of power between workers, vendors, and the global technology firms that ... more

External Link (60)

The Essential Convergence: Global Compact on Extreme AI Risks

Sundeep Waslekar, Ilmas Futehally, Jayantika Kutty

Mumbai: Strategic Foresight Group (2026), 90 pp.

"Supply-Side Governance: Progress and Limitations: Most existing AI governance frameworks focus on the supply side of the technology ecosystem. These measures regulate developers, model providers, and infrastructure operators responsible for building advanced systems. Supply-side mechanisms include: ... pre-deployment safety testing and red-teaming; model evaluation and capability assessments; transparency and reporting obligations; incident response mechanisms; restrictions on certain high-risk uses. Several jurisdictions are experimenting with these tools in different combinations. China has implemented regulatory standards for generative AI systems; the European Union has adopted a risk based regulatory framework; Brazil and South Korea are developing legislative approaches; and the United States has introduced a mixture of executive measures and sectoral rules. These frameworks represent important progress. However, they face two structural limitations. First, supply-side regulation depends heavily on the cooperation of a small number of developer states. Second, the growing distribution of AI models, through open-weight releases, cloud APIs, and downstream applications, means that many systems reach global markets beyond the jurisdiction where they were originally developed. This reality limits the effectiveness of purely supply-side approaches. Demand-Side Governance: A New Dimension of AI Regulation: The paper introduces a second dimension of governance that has received far less attention: demand-side oversight. Demand-side governance shifts the locus of control from the point of creation to the point of deployment. Instead of relying solely on developer-state regulations, importing countries can establish safety requirements for any AI systems operating within their markets. These requirements may include risk assessments, certification standards, procurement rules, insurance obligations, and infrastructure safeguards. The central insight is that states controlling large consumer markets, digital infrastructure, financial systems, or public procurement channels possess significant leverage over global AI deployment, even if they do not develop frontier models themselves. This demand-side leverage can reshape incentives across the global AI ecosystem. Developers seeking access to major markets must comply with the safety conditions imposed by importing states. This approach represents a strategic shift in global AI governance: from a developer-centric model to a market-driven model of safety enforcement. Countries across different regions possess different forms of demand-side power. Brazil and South Africa represent large emerging markets; the United Arab Emirates plays a major role in AI infrastructure investment; South Korea combines technological capability with advanced regulatory institutions. When coordinated, these forms of leverage could help establish global safety norms. The Case for a Global Compact: Given the limitations of purely national approaches, the paper proposes the development of a Global Compact on Extreme AI Risks. The Compact would not aim to harmonise all aspects of AI regulation. Instead, it would focus narrowly on the most severe risk categories and establish shared mechanisms for prevention, monitoring, and response. Five institutional pillars form the backbone of the proposed Compact. The five pillars in the Global Compact should not be treated as isolated measures but designed as an interoperable system in which each pillar reinforces and informs the others through shared definitions, compatible standards, and coordinated implementation mechanisms. To address extreme risks effectively, the Compact should rest on a small set of guiding principles: a human-centric principle to ensure protection of humanity and human dignity as the primary objective; technological neutrality so that safeguards apply across methods and architectures rather than specific tools; interoperability to enable national and regional AI frameworks to exchange information, align risk classifications, and coordinate responses; and mutual cooperation to institutionalize cross-border collaboration in prevention, incident reporting, and crisis management. These can be complemented by principles of proportional risk governance, scientific integrity, and shared responsibility, creating a coherent normative base that allows diverse governance models to function together as a connected global safety architecture." (Executive summary, pages 5-6) more

Google Scholar (18)

WorldCat (14)

How to Talk to AI (And How Not To)

Jamie Bartlett

London: Ebury Publishing (2026), 272 pp.

"[...] Most people still don't really understand how AI works, how to make the most of it – or what the dangers are. As some people use it to turbo-charge their productivity at work, others are falling into dangerous conspiracies, delusions and psychosis. In How to Talk to AI, award-winning techno ... more

Download (86)

Digital Media Shadowing Democracy: Technology, Communication, and Power

Auksė Balčytienė, Péter Bajomi-Lázár, Helena Sousa (eds.)

Gothenburg: Nordicom, University of Gothenburg (2026), 282 pp.

"The book’s message is brief: Liberal democracies are at risk. Democratic decay has numerous causes, but technological innovations and profit-driven dynamics are shaping societal relations in ways that intensify disagreements and polarisation, undermining informed citizenship. The growing number o ... more

Download (33)

Justicia algorítmica en América Latina y el Caribe: Investigación, políticas públicas y ética de la inteligencia artificial

Consejo Latinoamericano de Ciencias Sociales (CLACSO); CIESPAL; UNESCO (2026), 105 pp.

"El volumen reúne los policy briefs elaborados en el marco de la convocatoria Justicia Algorítmica. Una inteligencia artificial ética para América Latina y el Caribe, lanzada conjuntamente por UNESCO Ecuador y el Consejo Latinoamericano de Ciencias Sociales (CLACSO), en el marco de una colaborac ... ión intensa, sostenida y productiva que ambas instituciones han consolidado en los últimos años. A ella se sumó El Centro Internacional de Estudios Superiores de Comunicación para América Latina, CIESPAL, responsable de la edición del libro en alianza con CLACSO y UNESCO, reafirmando la convicción de que la cooperación interinstitucional regional constituye un instrumento fundamental para pensar críticamente la tecnología, fortalecer la cultura democrática y promover políticas públicas capaces de atender a los grupos más vulnerables. Los trabajos seleccionados y aquí publicados son el resultado de un proceso riguroso, sistemático y situado: se recibieron 35 postulaciones, evaluadas en primera instancia por un Comité Internacional integrado por nueve especialistas provenientes de Ecuador, Argentina, Brasil y Francia. Posteriormente, UNESCO y CLACSO realizaron la revisión final atendiendo a la calidad técnica y científica, la coherencia metodológica, la consistencia del plan de trabajo y la pertinencia de los temas en relación con la Recomendación sobre la Ética de la IA y el equilibrio regional. El proceso concluyó con la selección de cinco propuestas, varias de ellas con participación de investigadoras e investigadores con trabajo en y sobre Ecuador. Los policy briefs que conforman este libro abordan problemas urgentes de la agenda regional sobre IA. Uno de los núcleos críticos es la transformación del trabajo y la desigualdad digital, un fenómeno particularmente agudo en América Latina y el Caribe, donde históricas brechas educativas, económicas y territoriales se ven amplificadas por una automatización que concentra oportunidades en sectores altamente especializados y desplaza tareas tradicionalmente realizadas por trabajadores menos calificados. La región enfrenta una doble asimetría: la del acceso desigual a tecnologías avanzadas y la de las capacidades necesarias para utilizarlas de modo significativo, reproduciendo patrones de exclusión que atraviesan género, etnia y condición socioeconómica. Otro foco central es la privacidad y la vigilancia algorítmica, ámbitos donde los riesgos son crecientes. La implementación de sistemas opacos —las conocidas “cajas negras” algorítmicas— que procesan datos personales a gran escala ha generado nuevas formas de discriminación, como el racismo algorítmico, sesgos de género, o modelos predictivos que penalizan a grupos históricamente vulnerados. Los casos de identificación errónea en sistemas de reconocimiento facial o la clasificación automatizada de supuestos “riesgos sociales” muestran que, sin marcos éticos y normativos sólidos, la IA puede reforzar desigualdades en vez de corregirlas." (Introducción, páginas 8-9) more

Download (98)

Societies at an AI Crossroads: Choices and Value Conflicts

Ignas Kalpokas, Julija Kalpokienė

London; New York: Routledge (2026), 116 pp.

"As contemporary societies undergo profound transformations driven by artificial intelligence and related technologies, a unilinear vision of inevitable ‘progress’ and development increasingly dominates public discourse. This book offers a counterpoint, challenging such deterministic narratives ... more

External Link (104)

AI in the media: Kenya and South Africa

Karen Allen, Herman Wasserman, Nande Mbekela

Bonn; Stellenbosch (ZA): Deutsche Welle DW Akademie; Centre for Information Integrity in Africa (CINIA) (2026), 27 pp.

"This study shows that AI remains largely an underexplored, and often misunderstood, topic for journalism in South Africa and Kenya. Stories can be framed in overly positive terms, such as the potential AI holds for development and social change, or negative terms, by highlighting the extractive nat ... ure of big tech firms or the potential of AI to foster disinformation. Either way, these reports frequently lack a more nuanced understanding of the impacts of AI in African contexts. Fear of the impact of AI on the media workforce may also explain why reporters say they often face resistance by editors when seeking to get AI and tech stories commissioned. AI articles tend to be siloed and reactive, framed as business, security or technology stories. Seldom is AI presented in terms of its multidimensional, layered impact on society. Furthermore, the geopolitical aspect of AI rarely gets interrogated in mainstream media. Journalists interviewed for the study admitted that many of their stories were reactive, and identified areas where synergies could be harnessed from other parts of the world. On issues of AI and social media regulation, for example, where precedents have been set by countries such as Australia, South African and Kenyan media could use such precedents to develop locally focused stories. AI reporting often adopts a framing promoted by technology vendors who derive interest from presenting a one-dimensional, optimistic view of AI. The unintended consequences often go unreported unless supported by an investigation, such as the CCTV camera surveillance reportage by Swart referenced above. Furthermore, the topic is often presented through a Global North lens, with little contextualisation or interrogation of these issues from an African point of view amid resource and access constraints. This occurs against a background of under-developed policy frameworks for AI on the continent generally, and in newsrooms in particular. Consequently the playing field can be tilted in favour of AI and tech vendors who fill the vacuum with hyperbole and hype about what the technology is capable of delivering. At the same time, more nuanced and specialised reporting on AI is constrained by the familiar obstacles of journalism, such as lack of resources, over-stretched newsrooms and story competition. To enhance coverage of AI in Africa, a multifaceted strategy is needed. While training and AI literacy programmes can deepen the knowledge needed by African journalists to investigate the topic more comprehensively, increased investment in newsrooms can provide the structural support to provide more context-specific coverage of AI on the continent. Crucially, training and education of African journalists should be done from within the African context, as solutions cannot be imposed from newsroom contexts in the Global North." (Conclusions, page 21) more

External Link (160)

Google Scholar (189)

WorldCat (164)

Critiquing Generative AI in Africa's Media Ecosystems

Lungile A. Tshuma, Trust Matsilele

London; New York: Routledge (2026), 215 pp.

"The book argues that as technology is a social construct reflecting existing power dynamics, those in the Global South, and in Africa in particular, are bound to be marginalised and have their knowledge, systems overlooked as the Global North dominates technological developments. The birth of AI ha ... more

External Link (165)

Why Silicon Valley is turning to the Catholic Church: Priests and theologians want to shape the future of AI. Big Tech is listening

Elias Wachtel

The Atlantic, April 25 (2026)

"Silicon Valley and the Vatican may “seem like strange bedfellows”—but they each have something to gain from the other, @EliasWachtel argues. He examines why Big Tech is listening to priests and theologians who want to shape the future of AI." (Publisher description)

Download (59)

Handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India

Ajey Karthik, Aman Taneja, Sreenidhi Srinivasan, Vidushi Sinha

New Delhi: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward – Artificial Intelligence for All (2026), 117 pp.

"This Handbook is designed as a practical guide for developers of AI systems, especially from early-stage startups, to navigate data protection obligations and ethical considerations, in a clear and actionable manner. Rather than serving as a comprehensive legal or technical manual, the Handbook co ... more

External Link (145)

Encyclical Letter Magnifica Humanitas of His Holiness Pope Leo XIV on Safeguarding the Human Person in the Time of Artificial Intelligence

Leo XIV (Pope)

Vatican City: Holy See (2026)

"Divided into five chapters, Magnifica humanitas has an underlying premise: technology is not “a force antagonistic to humanity” (paragraph 4), nor is it “inherently evil” (9). However, “technology is never neutral, because it takes on the characteristics of those who devise, finance, regu ... late, and use it. Therefore, Pope Leo XIV appeals for people to build “for the common good” and to “remain human,” following a courageous mentality of shared responsibility and communion, so that the world “will come to recognize the human heart as the place where God desires to dwell” (16). [...] An ethical code for AI: The third chapter—Technology and Dominance. The Grandeur of Humanity in Light of the Promises of AI stresses the need to approach artificial intelligence with vigilance. Pope Leo warns about the “technocratic paradigm” already denounced by Pope Francis and how it can require that every choice be dictated exclusively by measuring efficiency and profits (92). On the contrary, the most powerful technology is not necessarily the best. AI can imitate and simulate the person, but it does not possess a moral conscience, empathy, or affective, relational or spiritual capabilities. The Pope urges clarity about responsibilities and accountability at every stage of the development process, focusing on adequate AI policies and legal frameworks, independent oversight, and user education. Above all, Pope Leo calls for an ethical code subject to shared standards of social justice, because “a more moral AI is not enough if that morality is determined by a few” (107). Nor, he adds, should the environmental impact of new technologies be overlooked, since they require large quantities of energy and water, affecting Creation (101). Disarming AI: AI must be “disarmed,” Pope Leo XIV continues, in order to free it from the mentality of military, economic, and cognitive competition. “To disarm means discrediting the assumption that technical power automatically confers the right to govern,” he says. “To disarm does not mean rejecting technology, but preventing it from dominating humanity” (110). He devotes ample space to a critique of transhumanism and posthumanism, which interpret progress as the overcoming of human limits. Instead, limitations are not defects to be eliminated, but a constitutive dimension of the human person, because it is in fragility and finitude that relationship and openness to God and to others mature. He says we must remember that “humanity flourishes not despite limitations, but often through them” (118). Technological progress without regression of the heart: Pursuing technological innovation at the expense of eliminating human limitations, he says, would cause an anthropological regression. “Humanity—in all its grandeur and woundedness—must never be replaced or surpassed,” he says. Technology can alleviate humanity’s sufferings and open new possibilities, but it must not deny the essence of humanity, which is our “capacity for relationship and love” (126). In the face of AI, says the Pope, “the true alternative is not between enthusiasm and fear, but between two paths of development: a progress that serves individuals and peoples, or a progress that subjects them to the mentality of power” (129). An ecology of communication and the centrality of schools: In the fourth chapter—Safeguarding Humanity at a Time of Transformation. Truth, Work, Freedom—the Pope calls for an “ecology of communication” based on truth. He urges transparency in how content is selected, protection of personal data, serious journalism founded on argumentation and verification, a new awareness in the “proper and critical” use of digital tools, and the integration of different forms of knowledge. The Church must also embody transparent and honest communication, especially in cases of injustice and abuse. The Pope also appeals for a renewed educational alliance, so that the “desire to ask questions” may not be extinguished in young people by perfect machines that make human thought seem useless (140). Pope Leo XIV, therefore, calls for renewed attention to schools as places where people learn to “seek and love the truth” (147). The dignity of work: In the “fourth industrial revolution” represented by the digital transition, the Pope emphasizes the importance of protecting the dignity of work by designing systems centered on the person and not only on performance. “The ‘new ways’ of working are not necessarily better,” he writes, “while AI promises to boost productivity by taking over mundane tasks, it frequently forces workers to adapt to the speed and demands of machines, rather than machines being designed to support those who work” (150). Technology can certainly free human beings from burdensome or repetitive tasks, but it must not lead to unemployment in the name of reducing costs and increasing profit. In this regard, the Pope expresses his hopes for a renewal of labor organizations (155). Peace and development: Pope Leo then notes the need to move beyond GDP as the measure of a country’s level of development, focusing instead on the dignity of work, shared prosperity, the reduction of inequalities, and environmental protection. Finance, he says, must focus on the development, creation, and evolution of work (159-160). Following in the footsteps of Pope St. Paul VI, the encyclical underscores the interdependence between peace and development. It calls for international cooperation capable of defining shared strategies, especially in favor of the most vulnerable countries and groups, because prosperity contributes to peace “only if it is widespread, inclusive, and sustainable” (163). The family, “primary social good”: The Pope upholds the role of the family, saying it is founded on the stable union between a man and a woman. The family is a “primary social good” and the “fundamental and irreplaceable cell of every community organization” (165), which must be supported, including through labor policies that favor stability and humane rhythms, so as to protect society’s ability to “build the future.” ‘Architecture of visibility’ and risks for freedom: Pope Leo XIV then discusses the theme of human freedom in an age when digital platforms are designed to capture users’ time and exploit their vulnerabilities. He reiterates the need to strengthen each person’s interior freedom, while also confronting the risk of social control arising from the mass collection of data and the use of algorithmic systems. Profiling, predicting, and directing behavior, he says, is “a new form of power” (171) that risks discriminating against the weakest. The Pope particularly criticizes the “architecture of visibility,” which amplifies only what is visible and shapes opinions. New forms of slavery and colonialism: AI also generates new forms of slavery, such as that of the “scarred, injured, and worn down” bodies (173) of those who work in the extraction of the “rare earth elements” needed for technology. Therefore, the Pope upholds the importance of combating new forms of slavery as another “decisive test for ethical discernment” in the digital transformation. Pope Leo XIV stresses that “the Church renews her firm condemnation of every form of slavery, trafficking, and commodification of persons” and he underscores that to not react or to tolerate grave violations of human dignity means becoming accomplices to them. At the same time, the Pope “sincerely asks forgiveness” for the delay with which the Church in the past condemned “the scourge of slavery” (174-176). The encyclical also refers to the vital information—for example, on health and demographics—used to guide economic strategies. He calls this a new face of colonialism that turns personal lives into exploitable information, making the digital environment a “space of exploitation” (178-179). Overcoming ‘just war’ theory: In the fifth chapter—The Culture of Power and the Civilization of Love—Pope Leo XIV turns his gaze to war, saying “the digital revolution is changing the nature of conflict.” The Pope calls for an ethical approach, without which decisions about the life and death of persons will become increasingly impersonal due to a use of force regarded as an “immediate and viable option” (182-183). At the root of all this is a “culture of power” that normalizes war and rehabilitates it as an “instrument of international politics,” favoring rearmament. Today, he says, public opinion is burdened by polarizing media narratives, as well as by “a disconcerting loss of historical memory,” which leaves people without a long-term vision (191). Consequently, he says, peace today is no longer understood as a task to be undertaken, but as an interval between conflicts. For this reason, Pope Leo XIV reiterates that—while preserving the right to legitimate defense in the strictest sense—the theory of “just war” must be overcome, and dialogue, diplomacy, and forgiveness must instead be promoted (192). Algorithms do not make war morally acceptable: Pope Leo expresses criticism of the growth in the arms industry, the nuclear arms race, and the emergence of new armed actors—including jihadist groups—who aim to perpetuate conflicts as a source of power and profit. He also warns against the use of weapons linked to AI, because “there is no algorithm that can make war morally acceptable.” The Pope writes, “AI does not remove the intrinsic inhumanity of conflict; indeed, it can only bring about conflict more quickly and render it more impersonal, lowering the threshold for resorting to violence, transforming defense into threat prediction and thus reducing victims to data. In this way, it will accustom us to the idea that violence is inevitable and needs only to be optimized.” The Pope urges strict ethical limits, which are shared at the international level and based on personal responsibility and the protection of civilians. “Any technology that facilitates attacks without seeing the face of human beings lowers the moral threshold of conflict” (199). Crisis of multilateralism: The culture of power also emerges from the crisis of multilateralism and the emergence of “a disorderly and conflict-ridden multipolarism” with a prevailing sense of mistrust (201). The Pope laments that the rule of law has been replaced by the law of the strongest, while the logic of power prevails over peace building and institutions established to safeguard the common destiny of peoples have now been weakened. In this regard, the Pope hopes for “profound reforms” of the UN that can overcome the current crisis of values in favor of the common good (226). An irresponsible Realpolitik: The encyclical notes that today “hybrid” wars are fought “also on the economic, financial and cyber fronts, where disinformation and campaigns that feed people’s fears are used to manipulate public opinion” so that increases in military expenditures are seen as the “only response” to an uncertain future. But all of this is only a “false realism”, an irresponsible Realpolitik that sows in people’s consciences and cultures a resignation to an unavoidable war and describes peace as a utopia (204-205). He notes that there is the possibility that some “may consider armed conflict as an effective way of diverting attention from domestic problems and a cynical tool for managing difficulties (208). The civilization of love: Christians, says Pope Leo, are called to respond to the culture of power by building “the civilization of love” and by choosing whether to feed the logic of force or safeguard peace. He recalls the memory of the saints, “righteous people and the oft-forgotten peacemakers, show us that grace does not magically eliminate conflict, but instead it inspires active resistance to evil and an astonishing creativity in doing good” (211). The Pope indicates five paths of responsibility, which include disarming words by speaking the truth; building peace in justice; adopting the perspective of victims by taking a stand, because there are conflicts in which “it is unjust to remain neutral”; cultivating “a healthy realism” that seeks practicable paths of peace through deeds, not only words. Importance of interreligious dialogue: Finally, relaunching dialogue by moving from a culture of power to a culture of negotiation is highlighted. And of decisive importance is “interreligious dialogue”, being bearers of a message of peace. He writes that “those who use the name of God to legitimize terrorism, violence or war betray his true nature, for to fight in the name of religion means attacking religion itself” (223). The diplomacy of the Holy See, he notes, “adopts the Gospel’s principle of mercy as a concrete criterion for political action.” And from this, the exhortation to prayer, since peace comes above all from God (227-228)." (https://www.vaticannews.va/en/pope/news/2026-05/pope-leo-xiv-encyclical-magnifica-humanitas-ai.html) more

Download (23)

Uso crítico y ético de la Inteligencia Artificial en la educación
Deep Insights

Santiago García Gago, Inés Binder

São Paulo: Campaña Latinoamericana por el Derecho a la Educación (CLADE); Educación en Voz Alta (2026), 150 pp.

"Esta guía sistematiza y resume los contenidos del curso virtual “Uso crítico y ético de la Inteligencia Artificial en la educación”, celebrado en tre los meses de octubre y diciembre de 2025 [...] El curso se planificó como una introducción conceptual a los distintos ámbitos que abarca ... la Inteligencia Artificial, entendida como un sistema sociotécnico complejo y multidimensional. La idea es que estos conceptos apoyen a docentes y educadores en el diseño de estrategias que incorporen la IA crítica y éticamente en los procesos educativos. Por lo tanto, no es manual técnico de aplicaciones ni tampoco uno de estrategias pedagógicas. Se concibió como un compendio de fundamentos teórico-prácticos que sustenten el diseño de las estrategias para incluir aplicaciones de IA en las aulas. Para ello, en el capítulo primero, se desmitifica el desarrollo tecnológico desde la sociología y la economía política preguntándonos quiénes son los dueños de la IA y qué intereses económicos y geopolíticos dirigen su destino. En el capítulo dos se abordan los conceptos técnicos, las definiciones y tipologías que permiten abrir la caja negra de la Inteligencia Artificial y entender cómo funciona. También se enumeran algunas aplicaciones, tanto las privativas como modelos open source que permiten experimentar en el ámbito educativo o usar con mayores niveles de privacidad estas herramientas. El capítulo tres, alejándose de la lógica instrumental que analiza las tecnologías desde los usos “buenos” y “malos”, problematiza las relaciones de poder que configuran la IA y los desafíos a los que nos enfrenta clasificados en siete dimensiones: técnicas, éticas, ecológicas, de género, políticas, laborales y de seguridad y privacidad. Y cierra con una breve exposición de los esfuerzos legislativos, tanto a nivel internacional como regional y nacional, para regular la Inteligencia Artificial. En el capítulo cuarto, se exponen diversos aspectos cognitivos y del El capítulo quinto, complementando el anterior, aborda estrategias concretas para la inclusión ética de la IA en los procesos de aprendizaje desde tres abordajes: con pedagogías centradas en la persona, integrales e interdisciplinares y basado en la tecnología y no en la aplicación." (Introducción, páginas 9-11) more

Uso crítico y ético de la Inteligencia Artificial en la educación Deep Insights

Uso crítico y ético de la Inteligencia Artificial en la educación
Deep Insights