A Personal Experiment – using ChatGPT to generate ‘botput’
If you haven’t already, we would encourage you to read Danielle’s original article on AI and the ChatGPT generated blog first so you can reflect on the differences between human-generated output and ChatGPT generated ‘botput’.
Now, we take Danielle’s original article, and ask ChatGPT to optimise for SEO – read the output below.
Original article optimised for SEO by ChatGPT 3.5 Tuesday 11th June 2024:
Prioritise SEO optimisation in this text without compromising readability. Identify and seamlessly integrate relevant keywords or phrases to enhance online visibility to nutritionists and key stakeholders in the food system.
Using Generative AI as a Professional Nutritionist in 2024: A Personal Reflection
As a nutritionist, I decided to write this piece to increase our understanding of generative AI at pace. The ideal way to achieve this is by openly sharing our experiences. By doing so, we can confidently ask questions, make suggestions, and be ambitious with our work involving artificial intelligence (AI). This personal essay reflects on the potential role of ChatGPT in the life of a professional nutritionist.
Factors Influencing My Perspective
Understanding Generative AI: In this reflection, I discuss ChatGPT 3.5, a specific type of generative AI. This technology can take various inputs (text, images, audio) to generate new content. For example, in recipe development, it can create new recipes based on individual preferences and available ingredients.
Professional Bias: My experience as Chief Health Officer at Spoon Guru, an AI-based nutrition intelligence platform, influences my perspective. I believe AI tools designed with expert nutritionists hold significant potential to deliver meaningful health impacts at scale.
Balancing Roles: I reflect on my dual roles as a nutritionist and a mother of three, managing professional and personal commitments.
Workshop Insights on AI in Nutrition
The idea to write this reflection emerged after attending Aliya Porter’s workshop, “AI in Nutrition Communications.” This session introduced generative AI and guided examples of using ChatGPT relevant to professional nutritionists. The workshop highlighted the potential and challenges of integrating AI into our practice.
Practical Applications of Generative AI for Nutritionists
Nutritionists can use generative AI for various tasks:
Meal Plans: AI can create personalised meal plans based on dietary preferences and restrictions.
Written Resources: Generate educational materials and client communications.
Search Engine Optimisation (SEO): Improve online visibility and reach.
Email Responses: Efficiently manage and respond to client inquiries.
Diary Management: Organise schedules and appointments.
Marketing Posts: Create engaging content for social media.
Personalised Lunch Suggestions: Generate meal ideas based on available ingredients.
Information Summaries: Quickly access and summarise new research or trends.
These applications show the diverse and practical uses of AI in our field. However, we must critically evaluate the generated information’s accuracy and appropriateness.
Challenges and Considerations
AI integration in nutrition poses several challenges:
Information Accuracy: Ensuring AI-generated content is accurate and reliable.
Ethical Use: Maintaining ethical standards, including privacy, inclusivity, and transparency.
Professional Impact: Addressing fears about AI replacing jobs or adding to public confusion.
We need to actively participate in AI’s development and deployment to ensure it supports and enhances our profession.
Proactive Engagement with AI
Our profession must “lean in” to technology, actively contributing our expertise to shape AI tools. By doing so, we can address challenges such as:
Confusing Health Messaging: Simplifying and clarifying nutrition advice.
Data Overload: Reducing time spent on data management to focus on client interactions.
Strategic Work: Creating time for strategic initiatives that drive real impact.
Professional Isolation: Enhancing collaboration and connection among nutritionists.
Mitigating Risks and Harnessing Potential
To mitigate risks and harness AI’s potential, consider the following:
Address Bias: Actively mitigate bias in AI-generated outputs.
Maintain Critical Skills: Ensure critical thinking and detailed evaluation remain integral.
Uphold Ethics: Apply ethical standards consistently across all AI applications.
Trace Information Sources: Verify the credibility of sources used by AI.
Share Vulnerabilities: Foster an open environment for discussing AI challenges.
Prioritise Human Connection: Balance AI use with meaningful human interactions.
Ensure Nutritionist Involvement: Involve nutrition experts in AI tool development.
Final Thoughts
Let’s not work in silos but rather explore AI openly, set standards, and feel empowered to make informed decisions. It’s crucial to establish principles, ethics, and ways of working now. If you’re interested in this topic, connect with me directly (info@nutritiontalent.com). Together, we can support our profession in navigating this evolving landscape.
Author, Professor Danielle McCarthy, PhD RNutr (ChatGPT 3.5 used to optimise SEO)
Contact us if you have nutrition consultancy or recruitment requirements.
We’d love to know what you think!
- What did you learn from the Personal Reflection vs Chat GPT vs SEO optimised version?
- Was it useful to have all versions? If so, why?
- Was it worth the effort of writing my personal reflection?
- Are you interested in joining a forum to discuss this area further and share experiences?
Please share your thoughts. We will collate everyone’s contributions and share (anonymously!) to support everyone’s learning.