What kind of Artificial Intelligence does Health Hats, the Podcast, use in production? Understanding types of AI, transparency, and ethical considerations.
Summary
Perplexity used in this summary
AI Tools in Use
Various AI-powered software and apps are utilized in production, including Zoom, Descript, Grammarly, DaVinci Resolve, Canva, Perplexity, and OpenArt AI.
Types of AI
The episode breaks down different categories of AI, including Narrow AI, Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI).
AI functionalities are explained, from Reactive Machine AI to the theoretical Self-Aware AI.
Ethical Considerations
Transparency and disclosure of AI usage in content creation
Maintaining authenticity and human creativity
Ensuring content accuracy and preventing misinformation
Addressing bias and fairness in AI algorithms
Protecting user privacy and data
Ensuring Transparency
Disclosing AI usage in audio content and metadata
Clear communication with the audience about AI utilization
Appropriate use of AI as a tool to enhance, not replace, human creativity
Verifying and fact-checking AI-generated content
The episode emphasizes the importance of using AI responsibly to enhance the podcasting experience while maintaining integrity, authenticity, and trust with the audience.
Click here to view the printable newsletter with images. More readable than a transcript, which can also be found below.
Contents
Please comment and ask questions:
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Production Team
Kayla Nelson: Web and Social Media Coach, Dissemination, Help Desk
Leon van Leeuwen: article-grade transcript editing
Oscar van Leeuwen: video editing
Julia Higgins: Digital marketing therapy
Steve Heatherington: Help Desk and podcast production counseling
Joey van Leeuwen, Drummer, Composer, and Arranger, provided the music for the intro, outro, proem, and reflection, including Moe's Blues for Proem and Reflection and Bill Evan's Time Remembered for on-mic clips.
Podcast episodes on YouTube from Podcast.
Inspired by and Grateful to
Amy Price, Fred Trotter, Dave deBronkart, Eric Pinaud, Emily Hadley, Laura Marcial, James Cummings, Ken Goodman
Links and references
https://conversational-leadership.net/quotation/ai-is-neither-artificial-not-intelligent/
AI in Podcasting: Transforming Podcast with AI Technology
Best AI tools for podcasts
AI in Podcasting: A Guide for Brand Marketers
https://www.carmatec.com/blog/ai-in-media-and-entertainment-complete-guide/
AI in Media and Entertainment Complete Guide
Episode
Proem
No surprise, I use Artificial Intelligence in my podcast production. As an early adopter of technology, I explore ways of using Artificial Intelligence (AI) tools during my podcast production. As a technology skeptic, I’m alert to ethics, dangers, and risks. I’m uncomfortable with the term Artificial Intelligence. It’s not artificial or intelligent. Wait, I heard that somewhere? Where? I asked Perplexity, my most common AI tool. Someone said that AI is neither artificial nor intelligent. What was really said?
[Side note: I converse with AI, ask questions, pose another question, and clarify, just like talking with my grandkids about Pokémon, video games, or politics. Also, note that in AI-speak, questions are called prompts, and answers are referred to as output or answers.]
Perplexity answered:
The statement "AI is neither artificial nor intelligent" was made by Kate Crawford, a prominent researcher and author in AI ethics and policy. Here's a breakdown of what she really said and meant:
Not Artificial: Crawford argues that AI is not truly artificial because it is "made from natural resources, fuel, human labor, infrastructures, logistics, histories, and classifications" https://conversational-leadership.net/quotation/ai-is-neither-artificial-not-intelligent/
She emphasizes that AI systems are grounded in the physical world and rely on very real and tangible resources and human input.
Not Intelligent: Crawford contends that AI systems are "not autonomous, rational, or able to discern anything without extensive, computationally intensive training with large datasets or predefined rules and rewards.” This challenges the notion of AI as an independent, thinking entity.
Embodied and Material: Instead of being artificial or intelligent in the way we often imagine, Crawford describes AI as "both embodied and material."
[A brief aside: The AI tool, Grammarly, doesn’t know when something is a direct quote, so it suggests edits. I trash those suggestions. This showcases human control of AI in its simplest form. Grammarly’s plagiarism check function appropriately noted when I quoted myself and quoted others in Perplexity.]
In the interest of transparency, this episode shares my thoughts on and use of AI in podcast production.
AI used in Health Hats Production
A partial list of software and apps that include AI functions I use in production includes Zoom, Descript, Grammarly, DaVinci Resolve, Canva, Perplexity, OpenArt AI, Squadcast, Audacity, DALL.E, Auphonic, and more.
AI in Podcast Production According to Health Hats
What does artificial intelligence even mean? I need to break down the tool to better understand it. AI can involve functions like searching, content creation, editing, or summarizing. Sophistication or capabilities could refer to a level of understanding, such as completing specific tasks, acting as a virtual assistant, solving problems, discerning patterns, or learning beyond itself. We could also consider AI in terms of ownership, agency, business models, or trust. Yikes, that’s as far as I can go.
So, I prompted Perplexity: I'm trying to tell my followers how I use AI in podcast and video production. How should I categorize types of AI?
With references, Perplexity answered:
When discussing how you use AI in podcast and video production, it's helpful to categorize the types of AI tools based on their primary functions. Here's a suggested framework for categorizing AI tools in media production:
AI in Content Creation and Editing
Audio Processing
AI tools in this category can significantly enhance the quality and efficiency of your podcast production:
Noise Reduction: AI algorithms can automatically remove background noise, improving audio clarity. 1
Voice Enhancement: Tools like Adobe Podcast can enhance voice quality, making recordings sound more professional. 2
Automated Editing: AI can identify and remove filler words, pauses, and other unwanted audio elements. 4
Video Editing
For video podcasts or related content, AI can streamline the editing process:
Automated Cuts: AI can suggest or implement edits based on content and pacing. 2
Visual Effects: AI-driven tools can apply effects or adjust visual elements like lighting and color balance. 6
Content Summarization: AI can generate highlight reels or short clips for social media promotion. 4
AI for Content Enhancement
Transcription and Subtitling
These tools improve accessibility and repurposing of your content:
Automated Transcription: AI can quickly convert audio to text, saving hours of manual work. 3
Multi-language Subtitles: AI-powered translation can help reach a global audience. 4
Content Generation
AI can assist in various aspects of content creation:
Script Writing: AI tools can help generate ideas, outlines, or even full scripts for episodes. 1
Show Notes: Automatically generate detailed show notes from your audio or transcript. 3
SEO Optimization: AI can suggest keywords and optimize content for better discoverability. 4
AI for Audience Engagement and Analytics
Personalization
Enhance listener experience with AI-driven personalization:
Content Recommendations: AI can suggest relevant episodes to listeners based on their preferences. 6
Dynamic Ad Insertion: Personalized ad placement based on listener data and content context. 4
Analytics and Insights
Leverage AI to understand and grow your audience:
Audience Analysis: AI can provide insights into listener behavior and preferences. 6
Performance Prediction: Some tools can predict the potential success of content before publication. 6
By categorizing AI tools in this way, you can clearly communicate to your followers how AI enhances different aspects of your podcast and video production process, from content creation and editing to audience engagement and analytics.
I haven’t used this function yet.
Types of AI Based on Capabilities
Then I prompted Perplexity again:
AI is such a general term. What are the various types of AI? How do they differ?
Artificial Intelligence (AI) can indeed be categorized in various ways. Here's an overview of the main types of AI based on their capabilities and functionalities:
Narrow AI (Weak AI)
Narrow AI is designed to perform specific tasks within a limited context. 1 2
It's the most common type of AI currently in use. Examples include:
Virtual assistants like Siri or Alexa
Image recognition software
Recommendation engines (e.g., Netflix, Amazon)
While highly efficient at specific tasks, Narrow AI lacks the ability to function beyond its predefined scope. 3
Artificial General Intelligence (AGI)
AGI, also known as Strong AI, refers to AI systems that would theoretically equal or exceed human intelligence. 1 2
AGI would be capable of:
Learning and reasoning like humans
Solving problems across various domains
Adapting to new situations
AGI remains a theoretical concept and has not yet been achieved. 3
Artificial Superintelligence (ASI)
ASI is a hypothetical form of AI that would surpass human intelligen