AI ETHICS & MEDIA ETHICS

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Last updated 8:06 AM on 5/1/26
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29 Terms

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AI Ethics
The study of developing and using artificial intelligence in a way that respects human values promotes fairness and ensures accountability
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Stakeholders in AI Ethics
Individuals or groups such as developers businesses and policymakers responsible for ensuring ethical AI practices
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Bias and Discrimination in AI
The unfair treatment of individuals or groups caused by biased data or algorithms in AI systems
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Privacy Violations in AI
Concerns related to the collection analysis and misuse of personal data by AI systems
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Misinformation and Fake News in AI
The spread of false or misleading information generated or amplified by AI technologies
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Job Displacement due to AI
The reduction of employment opportunities as AI and automation replace human labor
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Lack of Transparency in AI
The inability of AI systems to clearly explain how decisions are made leading to confusion or mistrust
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Ethical AI Practices
Guidelines and actions that ensure AI systems are fair transparent accountable and beneficial to society
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Student Role in AI Ethics
The responsibility of students to learn evaluate and promote ethical use of AI technologies
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Responsible AI Use
Using AI in a way that avoids harm promotes fairness and respects privacy and human rights
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Accountability in AI
The responsibility of developers and organizations to ensure AI systems function ethically and answer for their outcomes
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Transparency in AI
The practice of making AI decision-making processes understandable and open to users
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Fairness in AI
Ensuring that AI systems treat all individuals equally without bias or discrimination
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Media Ethics
The principles and standards that guide responsible communication in media journalism and social platforms
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Ethical Communication
The practice of sharing information honestly fairly and responsibly across different media platforms
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Truth and Accuracy
The principle that information must be correct well-researched and free from distortion
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Fairness and Impartiality
The principle of presenting multiple perspectives and avoiding bias in communication
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Privacy and Respect in Media
The principle of protecting individuals personal information and treating them with dignity
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Transparency and Honesty in Media
The practice of openly disclosing sources affiliations and correcting mistakes when necessary
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Misinformation and Disinformation
False or misleading information that can harm society and distort reality
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Bias and Lack of Objectivity in Media
The presence of favoritism or one-sided reporting that misleads audiences
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Privacy Violations in Media
Unauthorized collection or misuse of personal data in communication platforms
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Sensationalism and Clickbait
The use of exaggerated or misleading content to attract attention and increase engagement
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Manipulation and Misrepresentation
The act of altering or framing information to mislead audiences or fit an agenda
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Cyberbullying and Harassment
The use of digital platforms to harm threaten or intimidate individuals
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Exploiting Human Suffering
Using tragic or sensitive situations for attention views or profit without ethical consideration
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Ethical Issues in Media
Challenges in communication such as misinformation bias privacy violations and manipulation that affect public trust
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Responsible Media Use
The practice of consuming and sharing information critically and ethically on digital platforms
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Digital Responsibility
The obligation of individuals to act ethically and responsibly when using technology and social media