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Ethics · Page 3

AI-generated conceptual illustration for “Article: Media literacy framed as a strategic field amid digital transformation”.
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Academy

Article: Media literacy framed as a strategic field amid digital transformation

Revista de Comunicación

A recent piece in Revista de Comunicación presents media literacy as an established strategic area of study since the late 20th century, describes its academic broadening to include digital competencies, civic participation and resilience to disinformation, and calls for stronger theoretical and methodological frameworks to meet rapid technological change and growing policy demand.

The Revista de Comunicación article—authored in the journal by Charo Sádaba—reports that media literacy has consolidated as a strategic research and intervention field, has shifted from a narrow focus on critical understanding to an expanded model incorporating digital skills and civic engagement to counter disinformation, and urges reinforcement of theoretical and methodological frameworks to support evidence-informed educational policies.

AI-generated conceptual illustration for “Softtek says AI will reshape jobs for the 2026–2027 corporate workforce”.
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Workplace

Softtek says AI will reshape jobs for the 2026–2027 corporate workforce

Big Data Magazine

Softtek describes the labour market as at an inflection point and identifies five emerging AI-focused roles — prompt engineers, ethics and bias specialists, AI trainers, auditors and solution architects — that it expects to be in greater demand as companies pursue digital transformation and regulatory resilience.

Softtek projects that artificial intelligence has become central to corporate innovation and highlights five specific professional profiles it expects to gain prominence in 2026–2027: prompt engineers who craft model instructions, specialists in AI ethics and bias, trainers who curate data and refine models, auditors who check security and compliance, and architects who integrate AI into business systems.

AI-generated conceptual illustration for “AI in the Enterprise: organizational challenges, systemic risks and a strategic playbook”.
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Workplace

AI in the Enterprise: organizational challenges, systemic risks and a strategic playbook

Perspective

Orange Business’s white paper says the rise of generative and agentic AI has produced an unprecedented technological acceleration and argues that integrating AI at scale is primarily an organizational and strategic challenge rather than purely a technical one; the paper also highlights systemic risks including a possible financial bubble, threats to democracy from disinformation, and geopolitical concentration of tech and political influence.

Orange Business’s white paper says the rise of generative and agentic AI has produced an unprecedented technological acceleration and argues that integrating AI at scale is primarily an organizational and strategic challenge rather than purely a technical one; the paper also highlights systemic risks including a possible financial bubble, threats to democracy from disinformation, and geopolitical concentration of tech and political influence.

AI-generated conceptual illustration for “Distant reading and the datafication of testimony: a case for hybrid reading”.
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Research

Distant reading and the datafication of testimony: a case for hybrid reading

Virtualis

Matías Alvarado Leyton's 2026 article in Virtualis examines the epistemological limits of applying distant reading to digital oral-history testimony and proposes a hybrid or stratified reading that combines computational methods with historiographic interpretation.

Matías Alvarado Leyton's 2026 article in Virtualis examines the epistemological limits of applying distant reading to digital oral-history testimony and proposes a hybrid or stratified reading that combines computational methods with historiographic interpretation. The article argues that computational methods reconfigure the status of testimony by translating it into abstractions—aggregation, pattern detection and large-scale recurrence—that can reveal relations at scale but may obscure narrative, situated and relational density.

AI-generated conceptual illustration for “Convergences of deep mediatization, media ecology and generative AI: ethical implications for promotional uses”.
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Research

Convergences of deep mediatization, media ecology and generative AI: ethical implications for promotional uses

Virtualis

Claudia Benassini Félix frames the article with two objectives: to present open alternatives for knowledge construction from convergences among deep mediatization, media ecology and generative artificial intelligence; and to illustrate those convergences through analysis of a tweet generated by the communication team of the Suprema Corte de Justicia de la Nación associated with Yasmín Esquivel, drawing ethical implications for the minister’s use of generative AI for promotion.

Claudia Benassini Félix frames the article with two objectives: to present open alternatives for knowledge construction from convergences among deep mediatization, media ecology and generative artificial intelligence; and to illustrate those convergences through analysis of a tweet generated by the communication team of the Suprema Corte de Justicia de la Nación associated with Yasmín Esquivel, drawing ethical implications for the minister’s use of generative AI for promotion.

AI-generated conceptual illustration for “Antenne Bayern keeps AI strictly behind the scenes, says CDO”.
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NewMedia

Antenne Bayern keeps AI strictly behind the scenes, says CDO

XPLR: MEDIA

Karsten Wellert describes a deliberate strategy of using AI for testing, virtual listener personas and chatbot support while keeping on-air voices and editorial decisions human and transparent.

In an interview, Antenne Bayern’s CDO Karsten Wellert says the station uses AI as a backstage tool: teams experiment and deploy only after benefits are clear, AI personas — trained on market-research data — give fast, virtual listener feedback, multiple models are combined by agents, and the live on-air program remains entirely human; chatbots identify themselves and offer opt‑outs.