Archive for calls, October 2023

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[Commlist] Call for Papers - Emerging Media (SAGE): AI from a Human and Responsible Perspective: Challenges and Prospects for the Media and News Industries External

Tue Oct 24 22:39:06 GMT 2023




***Special Issue: AI from a Human and Responsible Perspective: Challenges and Prospects for the Media and News Industries***

*Editors: Mathias-Felipe de-Lima-Santos (University of Amsterdam) and Sadia Jamil (University of Nottingham in Ningbo)

*Journal: Emerging Media by SAGE (https://journals.sagepub.com/home/EMM <https://journals.sagepub.com/home/EMM>)

**Open Access – No Article Processing Charges**

**Timeline**

Abstracts: November 15th, 2023

Full Papers Submission: April 30th 2024

Publication: After acceptance, the paper will be published online first, followed by inclusion in a forthcoming issue expected in either Q4/2024 or Q1/2025

Artificial Intelligence (AI) promises enormous benefits, such as economic growth, social development, human well-being, and safety improvement. Conceptually, the notion of “artificial intelligence” can be more narrowly perceived as “a branch of computer science focused on simulating human intelligence” (Broussard et al. 2019, 673). In other words, AI is understood as any sort of computational system that relies on algorithmic models as well as large and complex datasets to replicate the human brain’s learning capabilities (de-Lima-Santos and Ceron 2022; Diakopoulos 2019). In the last decade, AI applications have increased to an unprecedented level in the media industry after the developments relating to data, sensors, and advances in emerging technologies. AI is transforming the media and entertainment industries by changing existing relationships, transforming how activities are performed, reinventing business models, expanding the power of data, and permeating the entire value chain of these industries, from content production and distribution to audience consumption (Chan-Olmsted 2019).Much of the AI disruption in the media and news industries is evident through the enhanced interactivity through content recommendation and discovery tools, increased audience interest using augmented audience experience, and the improved delivery of data-intensive, personalized content to the audience, just to mention a few. In journalism, AI solutions have the potential to revolutionize news production, such as automated news processes and enhanced investigative reporting through computer vision models or expert systems (Broussard 2015; de-Lima-Santos and Salaverría 2021), distribution such as recommender systems (Mitova et al. 2022), the relationship between media and news consumers, e.g., adaptative paywalls mechanisms (Davoudi et al. 2018) and new business strategies (de-Lima-Santos et al. 2022), and more broadly, the journalistic environmental conditions that shape the news media ecosystem in any context (Jamil 2020; Dorr 2016).The challenges of integrating AI into media and news ecosystems might be significant considering these products’ unique social impacts on society. Technologies do not operate in isolation, and the human in the loop is essential to deliver the desired outcomes. The scholarly literature has pointed out a number of ethical dilemmas and questions that need to be addressed concerning AI systems. The low level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies.To address this, researchers have proposed a number of concepts and theories. For example, the notions of “machine ethics,” “computer ethics,” and "fair-ML" (fairness-aware machine learning) in practice are used to describe the concern with surrogate agents of humans and their impact on ethical issues, such as privacy, property, and power (Moor 2006). More recently, the concept of “Responsible AI” has attracted massive attention from governments, companies, and organizations to address the ability of AI solutions to behave and make decisions in a responsible way, that is, ethical development of these systems to benefit the individuals, society and its environment, while minimizing the risk of negative consequences (Benjamins et al. 2019; Burkhardt et al. 2019; Cheng et al. 2021; Clarke 2019; Ghallab 2019; Lu et al. 2022; Sambasivan and Holbrook 2019; Schiff et al. 2020; Stenbom and Størmer 2020; Trattner et al. 2022). In this respect, certain principles should be addressed to establish a transparent, governance structure that builds confidence and trust in AI technologies, such as fairness, explainability, robustness, traceability and privacy.Similarly, the use of human-centric ethical considerations when applied to an AI context, known as Human–AI teaming (HAIT), presents additional challenges, as the ethical principles and moral theories that justify them are not yet computable by machines and may conflict with social, cultural, and moral values (Pflanzer et al. 2022). Furthermore, it is crucial to recognize that AI-driven tools have emerged in the well-developed economies of the Global North, making economic and social benefits remain geographically concentrated primarily in this area. Despite these discussions, Responsible and Human AI in the media and news industry is still in its infancy.This special issue delves into the transformative potential of AI in the media and news sectors. It discusses the rich context that the interplay between AI, big data, and the media and news industries are offering to examine the broader implications of technological advancements on society and human interactions. By investigating topics such as responsible AI, human-AI collaboration, privacy and surveillance, liability challenges, data biases, and cultural variations in AI adoption, this special issue on “AI from a Human and Responsible Perspective: Challenges and Prospects for the Media and News Industries” expands the boundaries of critical scholarly research in the realm of emerging media. The recognition of ethical dilemmas, privacy concerns, and biases inherent in AI systems aligns with existing research that has emphasized the importance of addressing these issues for the responsible and beneficial deployment of AI technologies.Additionally, this special issue aims to explore the current state of AI from a human and responsible in diverse contexts, devoting particular attention to evolving standards, conventions, best practices, and challenges that recognizes the imperative of addressing these challenges in media and news industries worldwide. As a result, this special issue aims to help the media industry to better evolve technologically in a responsible and human-centered AI. We welcome contributions from different disciplines. Possible themes to be examined empirically, theoretically, practically, and methodologically in relation to one or more following topics:Responsible AI in the media and news industry;Human AI from a media and news industries perspective;AI and the issues of privacy and surveillance faced by journalists and media practitioners.The challenge of liability for news media organizations and journalists;Data biases, accuracy and authenticity;The cultural approaches to AI in the Global South;The divide between the Global North and South in the realms of AI and media;The limitations for responsible and human practices for AI in media and news;The differences in responsible AI approaches by media and news industries worldwide.The human perspective in AI systems for media and news worldwide;The social aspects, such as the interaction of operators with technologies and cultural values, and the institutional elements of AI-enabled systems in media and news industries;The implications of Ethical AI in investigative journalism;Fairness and bias in media and news;Robustness of AI systems to build trust in media;Reliability and safety of AI systems for media and news;Interpretability and audience knowledge;Explainability in media and news content;Marginalized communities and the use of AI in media.

**Submission Instructions**

Extended abstracts (400-600 words), accompanied by a 100-150-word bio introducing relevant expertise of each author should be sent no later than **November 15** to (mathias.felipe /at/ unifesp.br) <mailto:(mathias.felipe /at/ unifesp.br)> and (sadia.jamil /at/ nottingham.edu.cn) <mailto:(sadia.jamil /at/ nottingham.edu.cn)>.

Manuscripts will be submitted through the journal’s website. Authors must indicate that they wish to have their manuscript considered for this Special Issue. Three types of articles will be considered for this special issue:

*Original research articles (both empirical and conceptual papers are welcomed) are up to 10,000 words (including abstract, acknowledgments, references, tables, figures, and conflict of interest).

*Research notes are extensions or replications to previously published research, short descriptions of research projects that did not provide publishable results but represent valuable information. These are between 3,000 and 5,000 words, including references.

*Colloquium are papers that are along the lines of opinion or op-ed pieces. They are between 3,000 and 5,000 words, including references.



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