Please let me know. danny@health-hats.com. Material on this site created by others is theirs, and use follows their guidelines.
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:
Production Team
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
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
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:
She emphasizes that AI systems are grounded in the physical world and rely on very real and tangible resources and human input.
[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.
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.
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 tools in this category can significantly enhance the quality and efficiency of your podcast production:
For video podcasts or related content, AI can streamline the editing process:
These tools improve accessibility and repurposing of your content:
AI can assist in various aspects of content creation:
Enhance listener experience with AI-driven personalization:
Leverage AI to understand and grow your audience:
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.
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 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:
While highly efficient at specific tasks, Narrow AI lacks the ability to function beyond its predefined scope. 3
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:
AGI remains a theoretical concept and has not yet been achieved. 3
ASI is a hypothetical form of AI that would surpass human intelligence and capabilities. 1 2
It’s purely theoretical and would potentially:
This is the most basic form of AI 1 2 4
Reactive machines:
Examples include IBM’s Deep Blue chess computer.
Limited Memory AI can use past data to inform future decisions. 1 2 4
It:
This type of AI, still theoretical, would be able to understand and respond to human emotions and mental states 1 2 4
It aims to:
The most advanced theoretical type of AI, self-aware AI would possess consciousness and self-awareness. 1 2 4
This remains purely speculative and has not been developed.
By understanding these categories, we can better appreciate the current state of AI technology and its potential future developments. Each type of AI has its own strengths, limitations, and potential applications across various industries.
Talk of AI is everywhere as a bright, shiny, new thing that could solve any of humanity’s problems or the devil incarnate invasion of space and freedom. So, once again, I prompted Perplexity:
What are the ethical considerations when using AI in podcasting?
When using AI in podcasting, there are several important ethical considerations to keep in mind:
One of the key ethical issues is transparency about AI usage. Platforms like YouTube and Apple Podcasts now require podcasters to disclose when AI is used in content creation. 1
It’s important to be upfront with your audience about how and where AI tools are being utilized in your podcast production process.
While AI can enhance efficiency, there are concerns about preserving the authentic voice and creativity of human podcasters. The ethical use of AI involves leveraging it to enhance existing content or generate ideas, rather than relying on it to create original content wholesale. 1
Treat AI as a tool to augment human creativity, not replace it.
AI-generated content raises concerns about the potential for spreading misinformation or inaccurate information. Podcasters have an ethical responsibility to carefully review and fact-check any AI-generated content before publishing. 3
This helps maintain the integrity and trustworthiness of the podcast.
AI algorithms can perpetuate biases present in their training data. When using AI for content recommendations or moderation, it’s crucial to be aware of potential algorithmic biases that could lead to unfair or discriminatory practices. 5
Regular auditing of AI systems for bias is an important ethical consideration.
The use of AI often involves collecting and processing user data for personalization and analytics. Podcasters must be transparent about data collection practices and ensure they are complying with relevant privacy regulations to protect listener information. 5
There are ethical considerations around the potential for AI to displace human jobs in the podcasting industry. While AI can enhance productivity, it’s important to consider the impact on traditional roles and find ways to integrate AI that complement rather than replace human creativity and expertise. 5
By addressing these ethical considerations, podcasters can harness the benefits of AI while maintaining integrity, authenticity, and trust with their audience. The key is to use AI responsibly as a tool to enhance the podcasting experience, not as a replacement for human creativity and judgment.
Note that AI’s output didn’t include any environmental impact.
How can podcasters ensure transparency when using AI in their content?
Podcasters can ensure transparency when using AI in their content by following these key practices:
Major platforms now mandate disclosure of AI usage in podcast content. Apple Podcasts and YouTube require creators to prominently disclose when AI is used to generate a material portion of content or create realistic synthetic media. 1 2
This disclosure should be made both in the audio and metadata (e.g. podcast description) for each episode or show.
Podcasters should be upfront with their audience about how and where AI tools are being utilized in their production process. This transparency helps maintain trust and credibility with listeners. Some ways to communicate AI usage include:
The ethical use of AI in podcasting involves leveraging it to enhance existing content or generate ideas, rather than relying on it to create original content wholesale. 6
Podcasters should:
To maintain integrity and prevent the spread of misinformation, podcasters have a responsibility to:
As AI technology evolves rapidly, podcasters should:
By implementing these practices, podcasters can harness the benefits of AI while maintaining ethical standards and preserving the trust of their audience. Transparency in AI usage is not just about compliance, but about fostering an open and honest relationship with listeners in the ever-evolving landscape of podcast production.
I use AI. Should I reference everything that AI touches? Could I add a notice to my website face page like my Creative Commons notice? I prompted Perplexity:
Create 3 sample paragraphs to use in podcast show notes to notify listeners about my use of AI in podcast production.
Here are three sample paragraphs you can use in your podcast show notes to notify listeners about your use of AI in podcast production:
Since I seldom accept suggestions full cloth, here’s what I came up with for my website.
Health Hats, the Podcast, uses Artificial Intelligence tools to assist in production, such as audio and video editing. AI automates transcription suggests titles, subtitles, summaries, and content from searches. I use AI to create images for videos. Except for final audio editing using Auphonic, I seldom accept suggestions as offered. Every creative decision is my own. I reference AI sources through links and captions, as I always have. Questions? Ask. (71 words, 462 characters)
I then prompted Perplexity to shorten my draft. The output:
Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome. (45 words, 316 characters)
Let’s reflect on the environmental impact of AI and a person’s place in the AI ecosphere. I worry about fossil fuel and water use and ponder the impact of the current shortage of electricians. According to the National Science Foundation, by 2026, electricity consumption by data centers, cryptocurrency, and artificial intelligence could reach 4% of annual global energy usage—roughly equal to Japan’s electricity consumption. The production, transport, maintenance, and disposal of server data center hardware components require additional energy, materials, and natural resources, such as cobalt, silicon, gold, and many other metals. In 2022, Google’s data centers used approximately 5 billion gallons of fresh water, a 20% increase from the previous year, while Microsoft’s water use rose by 34%. Each AI interaction, such as a session with ChatGPT, can use up to half a liter of fresh water.
In health care, only individuals and their caregivers can compile their health data over their lifetimes from their clinical charts, wearable devices, and social and non-medical information. No one else can or will do it. When seeking health information, especially about rare and enigmatic diseases, people benefit significantly from the sophisticated use of generative AI to challenge their clinicians and save their and their loved ones’ lives.
James Cummings says that the intensity and frequency of consumer participation in AI will vary according to intellectual capacity, creativity, and ambition. However, regardless of consumer indifference or idleness, they (or their caregivers) are given the sole administrative responsibility for aggregating their health data.
At any level of health or disease, assembling comprehensive and complete personal longitudinal health records (records over time) will always be the consumers’ basic function.
What a fascinating aspect of healthcare information management! More to come.
Once again, here’s my AI transparency notice:
Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome.
https://health-hats.com/pod214/
https://health-hats.com/bioethics-autonomy-for-me-on-behalf-of-me/
https://health-hats.com/pod160/
Artificial Intelligence in Podcast Production
Health Hats, the Podcast, utilizes AI tools for production tasks such as editing, transcription, and content suggestions. While AI assists with various aspects, including image creation, most AI suggestions are modified. All creative decisions remain my own, with AI sources referenced as usual. Questions are welcome.
Creative Commons Licensing
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-NC-SA includes the following elements:
BY: credit must be given to the creator. NC: Only noncommercial uses of the work are permitted.
SA: Adaptations must be shared under the same terms.
Please let me know. danny@health-hats.com. Material on this site created by others is theirs, and use follows their guidelines.
Disclaimer
The views and opinions presented in this podcast and publication are solely my responsibility and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute® (PCORI®), its Board of Governors, or Methodology Committee. Danny van Leeuwen (Health Hats)