سلسلة العلوم الانسانية والاجتماعية 2025 ، العدد 2

1. Introduction
   The contemporary media landscape is undergoing radical transformation driven by digital revolution and accelerated AI technology development. AI has become a key player in media content production, management, and distribution, transitioning media institutions from human-dependent editing and production to algorithm-based data analysis, text generation, audience trend identification, and editorial decision-making.

While this transformation offers opportunities for enhancing media performance and efficiency, it simultaneously raises ethical and professional dilemmas affecting the core of media work based on truth, accuracy, objectivity, and social responsibility. AI applications present unprecedented challenges regarding content reliability, machine intervention limits in shaping public opinion, and journalist/media institution accountability for errors arising from intelligent systems.

International practices demonstrate that absent clear ethical frameworks for AI implementation in media can lead to privacy violations, truth distortion, and diminished public trust in media as information sources. In the Arab context, AI ethics in media remain nascent, with media institutions in many countries lacking regulatory policies or professional charters governing technology-human value relationships.

In Jordan, media institutions have recently begun exploring AI potential in news gathering, digital analysis, and audience interaction. However, this technical development lacks comprehensive ethical or legislative frameworks ensuring safe, responsible technology use compatible with Jordanian media’s cultural and professional specificities.

This study’s significance stems from its scientific attempt to design an ethical framework guiding AI implementation in Jordanian media, based on global standards and ethical charters while considering local specificities and cultural-social context. The study provides practical vision for media institutions, decision-makers, and academic entities in developing ethical and legislative policies accommodating technical advancements without compromising established professional values.

2. Research Problem
   Jordanian media is experiencing rapid transformation in employing AI technologies for production, editing, and news verification, creating new professional opportunities while posing complex ethical challenges concerning responsibility, accountability, transparency, and privacy protection.

The primary problem involves the absence of a clear national ethical framework regulating AI use in Jordanian media institutions, coupled with weak professional and legislative awareness regarding these technologies’ value dimensions. Despite international charters like UNESCO’s Recommendation (2021) and the European AI Act (2024), Jordan lacks local models balancing technical development with ethical commitment.

Consequently, the research problem centers on the main question: How can an ethical model for employing AI in Jordanian media be designed to balance technical development with professional and social values?            

This main question branches into several sub-questions:    
• What are the most prominent ethical issues raised by AI implementation in Jordanian media?
• To what extent do Jordanian media institutions consider ethical and professional principles when using AI technologies?       
• What global frameworks can be utilized in building a national digital ethics model?
• How can human and professional values be reconciled with AI requirements in a transforming media environment?                                        

3. Research Objectives
   This study aims to:

1. Analyze the reality of AI implementation in Jordanian media from ethical and professional perspectives.
2. Identify the most prominent ethical values and standards that should govern AI technology use in media.
3. Construct a proposed ethical model guiding responsible AI implementation in Jordanian media.

4. Theoretical Framework and Literature Review

4.1 Theoretical Framework for AI Ethics in Media           
AI represents a fundamental manifestation of digital transformation, becoming pivotal in media production systems, content management, data analysis, and audience interaction. As AI use expands in news, advertising, and data analytics, questions increasingly emerge about ethical values governing this use, particularly in media environments where technology intersects with social responsibility.

AI ethics in media rest on balancing technical efficiency with commitment to human values. This balance is essential for responsible intelligent technology use, ensuring they remain truth-serving tools rather than truth-directing instruments. Contemporary literature (Floridi, 2022; Mittelstadt, 2023) emphasizes that AI cannot be separated from its design values, as algorithms reflect human perceptions containing potential biases or inherent ethical challenges.

This study employs social responsibility theory in media as its primary theoretical framework, positing that media freedom must be coupled with responsibility toward society and its values. Based on this vision, AI implementation in media should occur within control systems ensuring transparency, fairness, and accountability, preventing deviation from professional values. This theory can be linked with digital ethics principles focusing on respecting humans and their digital rights in AI environments.

4.2 Relevant Global Ethical Charters         
Internationally, several initiatives have emerged establishing regulatory and ethical frameworks for AI implementation across various fields, most notably:

1. UNESCO Recommendation on AI Ethics (2021): The first comprehensive international agreement ensuring AI technologies serve humanity and preserve dignity, emphasizing transparency, accountability, data protection, and non-discrimination principles.
2. European AI Strategy (European AI Act, 2024): Classifying ethical risk levels in AI applications and establishing legal standards ensuring safe, fair use.
3. OECD Principles (2019): Emphasizing that AI systems must be transparent, accountable, and operate for human wellbeing.
4. Beijing Declaration on AI Ethics (2022): Focusing on ethics localization across multiple cultural contexts and respecting national/religious specificities in AI policy development.

These charters demonstrate global trends toward multi-level ethical systems encompassing general human values alongside cultural specificities. From this perspective, Jordanian media can benefit from global experiences developing local frameworks based on Islamic-Arab values while maintaining professionalism and neutrality.

4.3 Previous Arab and International Studies          
This study rests on two primary pillars: studies addressing ethical aspects and risks resulting from AI implementation in media globally and regionally, and studies establishing frameworks, standards, and ethics regulating this implementation. These literatures are integrated to highlight this research paper’s contribution.

First: Studies Focusing on Risks and Ethical Challenges    
Most studies agree that AI technology adoption in media represents a double-edged sword carrying serious ethical and professional risks.

Global Context: Diakopoulos (2019) analyzed algorithm use in newsrooms, focusing on accountability and transparency issues, indicating that “algorithms are not neutral” but reflect programmer biases and training data, threatening news objectivity. This algorithmic bias aligns with Bozdag’s (2013) warnings about how filtering and personalization algorithms create “filter bubbles” weakening media pluralism and promoting extremism. Zuboff (2019) provided a deeper critique, noting that “surveillance capitalism” models fueled by AI media applications transform user experience into raw data sources, violating privacy and undermining individual autonomy.

Arab Context: Al-Azzab (2021) revealed that Arab media AI adoption occurs haphazardly, focusing on automation tools without clear policies confronting tool biases or source protection. Al-Ghamdi (2022) confirmed clear legislative and ethical gaps, with results indicating practitioners’ concerns about AI implications for professional credibility and data privacy, absent clear operational guidance.

Second: Studies Providing Regulatory Frameworks and Standards
Numerous efforts have established ethical frameworks guiding AI use in response to these challenges.

Global Initiatives: Floridi and Cowls’ (2019) framework remains among the most influential, proposing five basic principles: Beneficence, Non-maleficence, Autonomy, Justice, and Explicability. Practically, UNESCO (2021) provided comprehensive documentation emphasizing AI must serve humanity while complying with human rights and fundamental freedoms. Media organizations like the International Association of Broadcasting developed guidelines focusing on automated news transparency.

Arab Context: Despite scarce comprehensive applied models, serious attempts exist. The Youth Studies Center (2023) attempted monitoring proposed model general principles but remained theoretical without providing measurable application mechanisms. Similarly, Saudi Arabia’s Communications and Information Technology Commission launched AI ethics guiding principles, but these remain general and not specifically tailored for media sectors.

4.4 Research Gap and Scientific Contribution       
Literature analysis reveals most studies focus on AI technical or general ethical aspects without providing integrated applied models linking professional values, regulatory policies, and cultural specificity.

Thus, this paper’s research gap involves “the absence of a comprehensive, systematic ethical model combining global principles with Jordanian media environment specificities and providing an applicable, measurable framework.” Consequently, this paper designs such a model, utilizing global principles while adapting them to Jordanian media’s legislative, professional, and cultural reality, bridging ethical theorization and practical practice.

5. Methodology

5.1 Research Approach        
This study employed an Analytical-Applied Approach combining theoretical phenomenon analysis with practical application study. This approach analyzes AI-related ethical concepts in media, comparing them with practical experiences in Jordanian media institutions, achieving comprehensive, applicable ethical models.

This approach suits the study’s nature, enabling conceptual ethical value/standard analysis combined with practical practice field analysis, permitting theoretical-applied model construction reflecting local specificity.

5.2 Study Population and Sample    
The study population comprises experts, academics, and media professionals working in AI and media in Jordan possessing professional/academic digital media technology and technological transformation knowledge.

A purposive sample (15-20 experts) from major media institutions and Jordanian universities was selected, plus representatives from regulatory bodies related to media, communication, and AI.

5.3 Data Collection Tools     
The study used in-depth interviews as most appropriate for understanding value-based and analytical ethical issues.

Interviews covered five main themes:

1. AI use reality in Jordanian media
2. Ethical/professional challenges journalists/institutions face
3. Current legislative/regulatory framework evaluation
4. Values/standards governing AI implementation
5. National ethical model construction proposals

Document analysis was also employed through ethical charter and international initiative review, like UNESCO’s AI Ethics Recommendation (2021) and European AI Act (2024).

5.4 Data Analysis Method    
The study employed Thematic Analysis among most common effective qualitative methods interpreting non-quantitative data, particularly data extracted from expert, academic, and media professional in-depth interviews.

This analysis aims to extract main themes reflecting ethical values and professional standards associated with AI implementation in Jordanian media, focusing on technology-ethical practice-regulation interrelationships.

1. Thematic Analysis
   Analysis followed Braun & Clarke’s (2006) six stages:

1. Preliminary data familiarization through repeated interview text reading
2. Initial code generation representing participant response core ideas
3. Code grouping into sub-themes
4. Theme review verifying field data/theory consistency
5. Final theme naming reflects ethical nature
6. Analytical narrative formulation linking themes with AI/media ethics theoretical framework

This analysis identified four main pillars forming the proposed ethical model’s foundation:
• Professional pillar (journalistic values and accountability)          
• Legal pillar (legislation and regulation)    
• Technical pillar (transparency and algorithmic fairness)  
• Social pillar (privacy and public trust)

Thematic analysis helped reveal knowledge/behavioral gaps between technical newsroom applications and ethical considerations per international charters.

2. SWOT Analysis
   Alongside thematic analysis, SWOT analysis was employed as strategic tool assessing AI ethical environment in Jordanian media through four main dimensions:
3. Strengths
   • Growing technical awareness in major media institutions beginning AI tool adoption
   • Institutional modernization orientation
   • Technologically qualified young cadres capable of handling AI tools
4. Weaknesses
   • Weak legislative/regulatory framework concerning media AI applications
   • Academic/professional training shortcomings
   • Weak digital ethical culture among media workers
5. Opportunities
   • Government digital transformation/technical innovation support
   • Potential university-media research partnerships
   • Openness to global charters like EU AI ethics initiative
6. Threats
   • Potential individual/community privacy violations
   • Algorithmic bias potentially distorting facts/reinforcing stereotypes      
   • Fake news/AI-generated content growth threatening media credibility    
   • Absence of digital accountability for intelligent system errors/violations
7. Analysis Integration
   Combining thematic and SWOT analyses provided a comprehensive ethical reality picture of AI implementation in Jordanian media. Thematic analysis explored values/meanings governing media practices, while SWOT analysis assessed institutional environments surrounding these practices.

Based on analysis integration, four entrances forming the proposed ethical model’s theoretical/practical basis were identified:

1. Human value as technology foundation
2. Shared human-machine institutional responsibility
3. Intelligent content transparency/accountability
4. Media data processing justice/equity

5.5 Study Limitations
• Topical boundaries: Professional ethics associated with AI implementation in Jordanian media only     
• Time boundaries: Study application during 2024-2025     
• Spatial boundaries: Universities/media institutions operating in Jordan  
• Human boundaries: Experts, academics, journalists specialized in digital media/AI

5.6 Trustworthiness and Triangulation       
The study ensured trustworthiness through all stages using Triangulation among most important qualitative research validity enhancement tools.

This approach enhanced results credibility, achieved internal consistency, and ensured transferability per Lincoln & Guba’s (1985) qualitative research quality evaluation standards.

Triangulation was employed through three main axes:

1. Data Triangulation: Comparing responses across professional/academic categories
2. Investigator Triangulation: Reviewing analytical results/extracted themes with expert collaboration
3. Theory/Method Triangulation: Comparing field data results with scientific literature

6. Findings and Analysis

6.1 Introduction        
After analyzing field data from in-depth interviews and reviewing international ethical literature/references, results demonstrating Jordanian media reality amidst digital transformation and most prominent ethical challenges associated with AI implementation in media work were reached.

Analysis focused on four main pillars representing the proposed ethical model’s foundations: ethical values, professional standards, legislative/regulatory frameworks, and sustainable media education.

6.2 Jordanian Media Reality Analysis Results in AI Implementation

1. Automation transformation absent ethical framework: Most Jordanian media institutions began using AI tools but lack clear use-regulating policies.
2. Weak ethical awareness: Growing AI importance recognition but limited ethical risk awareness.
3. External source dependence: Institution reliance on foreign software/tools without sufficient ethical dimension assessment.
4. Specialized national legislation absence: No laws/formal frameworks yet regulating media AI use in Jordan.

6.3 Ethical and Professional Challenge Analysis    
Through interviews and literature analysis, most prominent ethical issues were identified:
• Transparency: Difficulty determining responsibility for algorithm-resulting decisions
• Credibility: Potential inaccurate/distorted content publication without human verification
• Privacy: User personal data collection risk without consent         
• Accountability: Legal responsibility absence for AI-resulting damages  
• Algorithmic bias: Potential unintended cultural/political bias reflection

6.4 SWOT Analysis Results of Ethical Environment in Jordanian Media

6.5 Main Ethical Pillar Extraction   
Through results analysis, designing an ethical model for AI implementation in Jordanian media should rest on four interconnected pillars:

1. Core ethical values: Honesty, justice, integrity, transparency, privacy respect
2. Professional standards: Information gathering accuracy, data validation, content objectivity, editorial accountability
3. Legislative/regulatory frameworks: Internal institution regulations/policies regulating AI use parallel with national legislation ensuring data protection/individual rights
4. Sustainable media education/training: Enhancing media professional capabilities using modern technologies within ethical controls

6.6 Results Implications       
Results reveal clear gaps between technical progress in Jordanian media and ethical/regulatory maturity levels in AI use. They highlight needs for local models considering Jordanian society’s cultural/religious values while aligning with international standards, making Jordanian media an innovation-ethical responsibility balancing model.

7. Proposed Ethical Model

7.1 Introduction        
Based on theoretical/field analysis results and global AI ethics charter review, a comprehensive ethical framework guiding AI implementation in Jordanian media was developed.

This model rests on technology not being ethically neutral, and its media use must undergo professional/human values maintaining honesty, justice, and human dignity.

The model was designed as a referential framework applicable in media institutions, universities, and regulatory bodies, aiming to achieve technical innovation-societal responsibility balance.

7.2 Model Philosophy
The proposed model rests on “Ethics-enabled Technology” principle, seeing ethical values as integral AI media system design/application components.

The model doesn’t aim to restrict technical development but to direct it toward responsible practice considering Jordanian society’s cultural privacy and religious values.

7.3 Proposed Ethical Model Components   
The model comprises four main interconnected pillars representing an integrative system encompassing values, standards, policies, and knowledge empowerment:

1. First Pillar: Core Ethical Values
   This pillar represents the value foundation guiding all professional/technical behaviors within media institutions, including:
2. Honesty/transparency: Data source/algorithm verification in content production
3. Justice/non-discrimination: Ensuring intelligent systems don’t discriminate
4. Privacy/data protection: Respecting user personal data control rights
5. Human responsibility: Maintaining final editorial decisions with humans
6. Second Pillar: Professional Standards
   This pillar focuses on integrating ethical values into media institution daily practices, including:
   • Accuracy/objectivity commitment in AI-produced content
   • Clear AI-based content production step documentation policies  
   • Professional accountability enhancement through internal ethics committees     
   • “Human-in-the-loop” principal application for intelligent system content review
7. Third Pillar: Regulatory and Policy Frameworks
   This pillar links institutional policies with national legislative frameworks through:
   • Internal media institution regulations governing AI tool use
   • National legislation development addressing privacy, accountability, algorithmic bias
   • National body establishment concerned with “AI Governance in Media”
   • Media/Digital Economy Ministry cooperation establishing national digital ethics standards
8. Fourth Pillar: Sustainable Media Education and Training
   This pillar constitutes the model’s backbone, aiming to build professional culture based on ethical/technical awareness, including:
   • “Applied AI Ethics and Media” course incorporation in universities       
   • Periodic training program organization for media institution workers     
   • Digital ethics/smart media scientific research enhancement         
   • University-training center-media professional cooperation encouragement

7.4 Model Component Relationships           
The model builds on interactive integration between its four components, where ethical values form foundations, professional standards constitute application mechanisms, regulatory policies represent governing frameworks, and continuous training provides empowerment means.

The relationship can be visualized as:          
Ethical Values → establish principles         
Professional Standards → translate principles into practice           
Regulatory Policies → ensure institutional commitment    
Sustainable Education → enhance continuity/development

• Proposed Ethical Model Objectives

1. Ensure responsible AI technology use in Jordanian media
2. Protect professional/human values amidst digital transformation
3. Enhance public media institution trust
4. Support innovation in integrity/transparency-based media environments

7.6 Applicability        
The proposed model, beyond being a theoretical framework, represents a flexible procedural system adaptable according to media institution nature/size.

Implementation can occur through:  
• Internal ethical charter adoption    
• “AI Governance” unit development in major institutions  
• Model adoption as reference for Jordanian university media student training

8. Discussion

8.1 Introduction         
This discussion extends previous analysis/results, interpreting results considering literature/previous studies and demonstrating scientific contributions from the proposed ethical model for AI implementation in Jordanian media.

Results were analyzed based on three main approaches: theoretical, applied, and value based.

8.2 Theoretical Approach – Enhancing Ethical Framework for Media Practice
This study’s results confirm social responsibility theory in media, seeing media freedom must couple with accountability and professional/social value commitment.

While AI expands media institution production/analysis capabilities, it presents new responsibilities concerning technology use without societal harm, misinformation, or privacy violation.

This aligns with Mittelstadt’s (2023) indication that media AI cannot be separated from governing design/use values, as algorithms necessarily reflect ethically dimensional human decisions.

The proposed model demonstrates how theoretical principles can transform into effective applied frameworks combining ethical values/professional standards within flexible regulatory environments considering local privacy.

8.3 Applied Approach – From Theory to Practice    
Practically, the study reveals clear gaps between academic AI ethics awareness and practical practices within Jordanian media institutions.

While foreign studies indicate many institutions adopting AI-specific ethical policies, Jordanian institutions remain in technical experimentation stages without ethical/legislative framing.

The proposed model bridges this gap by providing applicable procedural frameworks, offering clear steps implementable gradually within institutions.

8.4 Value Approach – Cultural Specificity and Global Standard Alignment
Among this study’s most prominent contributions is its endeavor to localize global AI ethics within Jordanian Arab contexts.

While international charters focus on general principles, Jordanian media operates within social/cultural environments based on Islamic-Arab values placing justice, honesty, and human respect at the forefront.

Consequently, the proposed model seeks global-local alignment, not Western model replication but national framework development derived from Jordanian society’s cultural/religious values.

8.5 Model Comparison with Previous Studies         
Comparing study results with previous literature models reveals:  
• Most previous studies focused on Western media without considering local contexts
• Global ethical models often treat AI as technical-legal rather than value-based issues
• This study provided value-applied models based on Jordanian reality
• The proposed model added sustainable educational/training dimensions

8.6 Study Scientific/Knowledge Contributions        
Study contributions can be summarized as:

1. Presenting the first integrated ethical model for AI implementation in Jordanian media
2. Developing local ethical approaches based on Arab-Islamic values aligned with global charters
3. Highlighting sustainable media education importance
4. Directing media institutions/universities toward clear AI use policies
5. Enriching Arab AI ethics literature

9. Conclusions and Recommendations

9.1 Conclusions

1. Clear national ethical framework absence: Jordanian media institutions have begun AI technology implementation absent comprehensive ethical/regulatory frameworks.                       
2. AI between development/ethical risk: Despite clear AI advantages, ethical risks necessitate precise technical progress-value commitment balance.
3. Varying ethical awareness levels among media professionals: Clear variation exists in media professional/editor AI effect awareness.
4. Institutional/legislative integration need: Absent coordination leads to weak unified AI governance policy adoption.
5. National digital ethics model construction potential: Jordanian media environment possesses qualifications for ethical model adoption.

9.2 Recommendations

1. Media institution recommendations:
   • Proposed ethical model adoption as procedural framework          
   • Internal digital media ethics committee establishment      
   • AI-based content production step documentation  
   • “Human-in-the-loop” principal adoption
2. University/academic institution recommendations: 
   • “Applied AI Ethics and Media” course integration
   • Digital ethics scientific research encouragement  
   • Ethical/responsible AI use workshops/training courses
3. Regulatory body/decision-maker recommendations:           
   • Media AI ethics-specific national legislation development          
   • National “AI and Digital Media Governance” body establishment           
   • AI ethics training/public awareness initiative support
4. General recommendations:   
   • Academia-practice combining participatory approach adoption   
   • “Ethical innovation” culture enhancement within media institutions       
   • Local policy alignment with global charters

9.3 Future Research Proposals

1. Jordanian Arab-Western media ethical framework comparative studies
2. AI impact on media institution public trust analysis
3. Media institution digital ethics commitment standard measurement tool development
4. Visual/audio news content AI use ethical perspective study

9.4 Conclusion           
This research concludes that AI implementation in Jordanian media represents real professional practice advancement opportunities if occurring within disciplined ethical frameworks based on transparency, justice, and accountability. The proposed ethical model offers integrated national vision seeking technical innovation-social responsibility balance, representing practical steps toward humane digital media reflecting societal values while confidently/wisely keeping pace with AI revolution.

References

First: Arabic References

1. Al-Ghamdi, K. (2022). Ethical Dilemmas of Using Artificial Intelligence in Saudi Newsrooms: A Field Study. Journal of King Abdulaziz University: Arts and Humanities, 30(1), 321-350.
2. Al-Azzab, M. (2021). Artificial Intelligence and Transformations of Media Industry in the Arab World: Opportunities and Challenges. Journal of Media Research, 55(2), 123-145.
3. Youth Studies Center. (2023). Towards an Arab Model for Artificial Intelligence Ethics in Media. Cairo, Egypt.
4. Communications and Information Technology Commission. (2023). Guiding Principles for Artificial Intelligence Ethics. Kingdom of Saudi Arabia.

Second: Foreign References

1. Bozdag, E. (2013). Bias in algorithmic filtering and personalization. Ethics and Information Technology, 15(3), 209–227.
2. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
3. Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.
4. European Parliament and Council. (2024). Regulation (EU) 2024/… of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.
5. Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
6. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.
7. Mittelstadt, B. (2023). The ethics of AI in journalism: A structural approach. Digital Journalism, 11(7), 1219–1237.
8. OECD. (2019). Recommendation of the Council on Artificial Intelligence. OECD Legal Instruments.
9. Ouchchy, L., Coin, A., & Dubijević, V. (2020). AI in the headlines: The portrayal of the ethical issues of artificial intelligence in the media. AI & Society, 35, 927–936.
10. Porlezza, C. (2024). From transparency to accountability: Designing AI governance in newsrooms. Journalism Practice, 18(1), 150-169.
11. UNESCO. (2021). Recommendation on the ethics of artificial intelligence. United Nations Educational, Scientific and Cultural Organization.
12. Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.

Key words: Artificial Intelligence, Media Ethics, Digital Transformation, Jordanian Media, Ethical Model, Professional Standards, Responsible AI

Abstract
This study aims to design an ethical framework for employing artificial intelligence (AI) applications in Jordanian media, addressing the rapid digital transformation and its accompanying ethical and professional challenges facing media institutions and practitioners. The study adopted an analytical-applied methodology that combines theoretical review and field analysis through in-depth interviews with experts, academics, and media professionals in Jordan, exploring dimensions of ethical and responsible AI use in the local media environment.

Results indicate that while AI enhances media production efficiency, accuracy, and speed, it simultaneously raises fundamental concerns regarding transparency, privacy, credibility, and professional responsibility. The study reveals an urgent need for a clear ethical framework regulating AI implementation in Jordanian media institutions to preserve professional values and societal trust.

The study proposes an ethical model comprising four interconnected pillars: core ethical values, professional standards, legislative and regulatory frameworks, and continuous media training and qualification. This model seeks to balance technical innovation with social and cultural responsibility, ensuring safe and sustainable implementation of AI technologies in Jordanian media.