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Answer :
Organizations like Sports Illustrated must address data governance challenges when using AI by ensuring data quality, integrity, and privacy. They must establish transparency, handle ethical concerns, assure authenticity, regulate AI effectively, and develop ethical frameworks for AI governance, while centering the concerns of stakeholders.
Data Governance Challenges in AI-Generated Content
Media organizations like Sports Illustrated face significant data governance challenges when utilizing AI-generated content. Ensuring data quality, integrity, and privacy is central to the successful implementation of AI technologies in content creation processes. Key challenges include:
- Establishing transparency around data collection and usage, in line with data justice-based principles.
- Handling ethical concerns, privacy issues, and the potential for discrimination or biases within AI applications.
- Ensuring the authenticity of content to prevent disinformation and intellectual property violations.
- Regulating AI applications, such as chatbots and algorithmic decision-making systems, to uphold scholarly integrity.
- Creating ethical frameworks for AI governance, acknowledging the importance of student and staff voices in the development process.
To navigate these challenges, media organizations can:
- Adopt a clear transparent policy regarding data collection and inform all stakeholders about the details of data usage.
- Address issues of algorithmic bias and discrimination by implementing regular audits and promoting diverse datasets.
- Develop provenance and watermarking systems to verify the authenticity of AI-generated content and trace the origin of data leaks.
- Engage in dialogue with researchers, industry experts, and governmental bodies to form comprehensive regulations for AI.
- Center student and staff concerns about surveillance and profiling when developing AI solutions, ensuring they are equitable and non-intrusive.
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