Byte Sized Brilliance: Humanizing Communications with AI

Top 5 points discussed:
1. Generative AI can help ensure non-profit communications are clear, well-thought out, appealing to the target audience, and easily understood.

2. AI can help translate complex, jargon-filled content into plain language that is more accessible and understandable for the general public.

3. Using AI-powered plain language editing can make communications shorter and more concise, which is important for things like grant proposals or reports.

4. AI tools can free up non-profit staff to focus more on strategic, creative, and high-value tasks rather than administrative work like rewriting and editing communications.

4. Leveraging generative AI allows non-profits to be more efficient and effective in sharing their messages and increasing accessibility to their work and mission.

1. Byte Sized Brilliance:
Humanizing Communications with AI!
Luther College Nonprofit & Voluntary Sectors
Studies Network
And
South SK Community Foundation

September 23, 2024
10:00 - 11:30 am

Bonnie Zink, Knowledge Mobilizer and GenAI Jargon Buster

3. Bridging the Gap with Plain Language
The patient presents with acute dyspnea and
tachycardia, likely secondary to congestive
heart failure. An echocardiogram revealed left
ventricular hypertrophy, and the patient has
been started on ACE inhibitors to manage the
hypertension. Further diagnostic tests,
including a CBC and BMP, are recommended to
assess renal function and electrolyte
imbalances.
This includes medical jargon like "acute
dyspnea," "tachycardia," "congestive heart failure,"
"echocardiogram," "left ventricular hypertrophy,"
"ACE inhibitors," and abbreviations like "CBC" and
"BMP," which may be unfamiliar to non-medical
audiences.

The patient is having trouble breathing and a fast heartbeat, likely
due to heart failure. A heart scan showed that part of the heart is
thicker than normal, and the patient has started medication to
lower their blood pressure. More tests, including blood work, are
recommended to check kidney function and for any issues with
electrolytes.
Changes Made:
1."Acute dyspnea" → "Trouble breathing"
○Simplified medical term to a more commonly understood
phrase.
2."Tachycardia" → "Fast heartbeat"
○Replaced the technical term with a plain description.
3."Congestive heart failure" → "Heart failure"
○Kept it simple but accurate enough for a general audience.
4."Echocardiogram" → "Heart scan"
○Translated the specific test into something easily understood.
5."Left ventricular hypertrophy" → "Part of the heart is thicker than
normal"
○Described the condition in a more relatable way without losing
meaning.
6."ACE inhibitors" → "Medication to lower their blood pressure"
○Replaced the specific medication type with its purpose.
7."CBC and BMP" → "Blood work"
○Generalized the tests for easier understanding.
8."Assess renal function and electrolyte imbalances" → "Check
kidney function and for any issues with electrolytes"
○Simplified technical terms into clear descriptions.

4. Striking the Perfect Balance
BEFORE:
Nonprofit organizations often engage in capacity
building to enhance their operational efficiency and
effectiveness. This involves a range of activities
such as stakeholder engagement, strategic
planning, and resource mobilization. Additionally,
nonprofits must navigate complex regulatory
environments and ensure compliance with various
legal and financial requirements. Effective
communication strategies are essential for
advocacy, fundraising, and community outreach.
Utilizing data-driven approaches and leveraging
digital platforms can significantly amplify the impact
of nonprofit initiatives.

AFTER:
Nonprofit organizations work to improve how
they operate and serve their communities. This
includes activities like working with supporters,
planning for the future, and raising funds. They
also need to follow laws and manage their
finances carefully. Clear communication is crucial
for raising awareness, getting donations, and
connecting with the community. Using data and
digital tools can help nonprofits make a bigger
impact.

5. Tailoring Communication for Different Audiences
How AI Customizes Messages

6. AI-Powered Tools My AI-Powered Tools List is HERE!

7. ChatGPT For Non-Profit Writing

8. Best Practices for Using AI Tools…1
●Clear Goals: Define objectives clearly, such as
improving document clarity or streamlining data
analysis.
●Choosing the Right AI Tool: Select tools that
match your needs:
○Elicit for research synthesis.
○Scribe for simplifying content.
○PaperPal for writing and editing support.
○ChatGPT for drafting and brainstorming.

9. Best Practices for Using AI Tools…2
●Crafting Effective AI Prompts: Use
clear, concise language and structured
instructions.
○Good Prompt Example: “Generate
a summary of this research paper
highlighting key findings formatted
in Markdown.”
○Bad Prompt Example: “Tell me
about this paper.”
●Continuous Improvement: Regularly
evaluate and refine AI outputs based on
feedback and new insights.

10. Best Practices for Using AI Tools…3
Bias in AI
●Explanation: AI models can reflect
biases from their training data or design,
leading to skewed or unfair outputs.
●Impact: Biased AI can perpetuate
inequalities and affect decision-making
processes.
●Mitigation: Regularly review and validate
AI outputs against diverse and reliable
sources to minimize bias.

11. Best Practices for Using AI Tools…4
Misinformation
●Explanation: AI systems can
generate false or misleading
information if trained on inaccurate
data.
●Impact: Reliance on AI-generated
misinformation can lead to incorrect
conclusions and decisions.
●Mitigation: Cross-check AI outputs
with trusted, credible sources to
ensure accuracy and reliability.

12. Best Practices for Using AI Tools…5
Privacy Concerns
●Explanation: AI tools can collect and
analyze personal data, raising privacy
concerns.
●Impact: Improper handling of personal
data can lead to breaches of privacy
and trust.
●Mitigation: Adhere to data protection
regulations and use AI tools responsibly
to safeguard personal information.

13. Best Practices for Using AI Tools…6
Copyright and Intellectual Property
●Explanation: AI-generated content must
respect copyright laws and intellectual
property rights.
●Impact: Unauthorized use of copyrighted
materials can lead to legal issues and
ethical concerns.
●Mitigation: Ensure AI tools and generated
content comply with legal and ethical
standards, citing sources appropriately.

14. Practice Caution
●Please note that entering original material
into a tool may impact intellectual property
and copyright if the data is used to train the
model.
●Always review the Terms and Conditions to
understand how your input and output are
used, who holds intellectual property rights,
and whether you can request the removal of
your information from the dataset.

15. The Future of AI in Communications
Current Applications:
●Content Creation: Automates writing
for blogs, articles, and social media.
●Customer Service: Enhances support
with chatbots and virtual assistants.
●Personalization: Tailors marketing and
recommendations.
Future Trends:
●Enhanced Creativity: AI assists in
innovative content creation.
●Real-Time Translation: Breaks
language barriers for global
communication.
●Advanced Personalization: Predicts
user needs with greater accuracy.

16. The Rise of GenAI in Document Writing
●Growing Trend: Increased use of GenAI in writing
articles, grant applications, and other documents.
●Guidelines Matter:
○Not all GenAI applications require documentation.
○Adhere to specific guidelines as publications have
rules for declaring and referencing the use of
GenAI.
●Publisher Policies:
○Check the publisher’s policies before submitting
your work.
○Avoid issues like accidental publication of irrelevant
GenAI content through thorough editing.
●Style Guides:
○Major style guides now include instructions for
citing GenAI sources.
○Familiarize yourself with these guidelines for
accurate citation and referencing.

17. Further Reading
Artificial Intelligence in Research Administration: Current Applications and Future Directions
Source: "Artificial Intelligence (AI) and Automation in Administrative Procedures"1
Summary: This paper examines the potential and challenges that arise from integrating AI into administrative procedures, providing a conceptual
framework for its applications.

Best Practices for Implementing AI Tools in Research Management
Source: "How to Implement AI — Responsibly"2
Summary: This article discusses responsible AI implementation, focusing on fostering a culture that values ethical AI practices.

Ethics and Bias in AI: Implications for Research Administration
Source: "The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool"3
Summary: This article explores the ethical issues and biases associated with AI in scientific research and offers recommendations for
responsible use.

The Role of AI in Enhancing Research Data Management and Analysis
Source: "How AI Is Improving Data Management"4
Summary: This article discusses how AI improves data management, including classification, cataloging, quality, security, and integration.

Navigating the Challenges of AI Integration in Research Administration
Source: "Research Integrity and AI: Navigating Challenges and Leveraging Potential"5
Summary: This article addresses the challenges and opportunities of integrating AI in research, focusing on maintaining research integrity.

18. Let’s Stay in Touch!
Bonnie Zink,
Knowledge Mobilizer and GenAI Jargon Buster

Email: [email protected]
Phone: [phone]
LinkedIn: https://www.linkedin.com/in/bonniezink

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