Is it ethical to use GenAI tools to create podcasts? What is the negative impact on original content creators? How can an AI-generated podcast be made while carefully checking to determine misinformation? How can these podcasts be conscientiously created?
These sources collectively discuss the challenges and ethical considerations surrounding the use of AI in creative fields and information dissemination. One source highlights the difficulties fact-checkers face in verifying audio content, noting issues with time, limited tools, and the sheer volume of material. Another source explores the numerous arguments against using AI in creative fields, citing concerns about devaluation of art, loss of human connection, potential for bias, and lack of genuine creativity or intent. A third source examines the application of AI in podcasting, outlining potential benefits like automated tasks but emphasizing the critical need for transparency and ethical use. Finally, several sources touch upon the broader implications of AI in information, stressing the importance of fact-checking AI-generated content and the necessity of AI transparency to build trust and avoid perpetuating harmful biases or misleading audiences.
Sources:
'It's a Struggle': Understanding the Challenges of Fact Checking Audio Content - Kinzen
50 arguments against the use of AI in creative fields - AOKIstudio
6 steps in fact-checking AI-generated content - TechTarget
AI Best Practices for Authors
AI in Podcasting: Ethical Implications and How to Leverage AI for Podcasting Success
Ethics and AI: The Risks of AI : r/podcast - Reddit
Google's NotebookLM makes AI podcasts. Is that a good thing?
The Complete Guide to AI Transparency [6 Best Practices] - HubSpot Blog
The Threat of AI in the Creative Industry - 3D Issue
Verifying Information - The American Journalism
