Optimism about the future is only warranted when we can objectively look at the past and choose differently for the future. Meeting this moment will require great thought, new ideas, and a shift in perspective and accountability.
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Lesson 2: Practical Wisdom
Practical advice for dealing with AI just makes sense in the real world.
DEVELOPING PRACTICAL KNOWLEDGE
Learning is an essential to AI adoption and use
Practical advice for dealing with AI just makes sense in the real world. It's like having a map when you're on an adventure—it guides you through the twists and turns of this tech world. Instead of just theories, practical advice gives you real-life tricks and tips that actually work, helping you navigate AI confidently and effectively.
RESPONSIBLE AI IS NOT ENOUGH
Understanding the distinction between responsible and ethical AI
It should be mentioned that you will hear the phrase "responsible AI" a lot. This phrase simply means technology that was developed in a responsible way - the responses match the data set, the data was cleaned prior to use, bias was addressed as the technology was built.
However, proponents of ethical AI recognize that responsible development is only one part of ethical AI. For ethicists, responsible AI lacks a crucial component - the impact on human rights as tech is used and deployed in the world.
For NextGen Ethics, the challenge is deeper, because we recognize that even responsible and rights is not all that's required; we must also manage our relationship and the amount of trust we place in AI.
Frameworks are guiding principles or characteristics identified for prioritization in AI development, and at times use. While no one framework can address all concerns, they are a first step to unpacking the priorities involved in this work, they are optional to follow. The AI Risk Management Framework (AI RMF) is one of the more popular. Others can be found through IEEE. Many businesses simply create their own.
THEORIES AND APPLIED KNOWLEDGE
Free and online training courses help you understand the fundamentals
Links to 2 free online courses to learn about ethical AI and the expectations and impact on users, industry, and others as we all adapt to this technology.
University of Helsinki, Ethics of AI Course
Rights-based (Impact on people by technology, this training focuses on the risks that users and customers are most interested in preventing.)
Free; includes certification.
LinuxFoundationX: Ethical Principles for Conversational AI
Risk and Rights (Impact on people, risk mitigation in development, and designed with professionals in mind.). Certification available at minimal cost. *Our founder oversaw the risks/benefits section of this course.
*Disclosure for Unpaid Affiliation:
Any mention or reference to specific organizations, products, or services within this context does not imply any form of paid endorsement or sponsorship. Recommendations or opinions expressed are based solely on merit, and we maintain complete impartiality in our guidance and suggestions.
Making AI better for all of us.
It is essential that we understand that we create the dataset that is used to train AI. Our thoughts are not limited to the platform that we share them and they will reach far beyond our intended audience. Because of this we have a responsibility to train AI to be ethical and responsible so that harms can be mitigated or prevented. We are all teachers now and our every online thought the lessons learned by AI.
Fairness and Kindness
Every person deserves to be treated with fairness and kindness. While it may seem odd to say out loud, treating technology with kindness matters also. After all we are relying on it for insight, help with our work and challenges, and to benefit us in all that we do. When we are cruel online or provide harmful comments and content, we are training AI to give that back to us exponentially and amplifying the results we are seeking to avoid.
PRACTICAL ADVICE
Practical advice, before trying AI tools
As the focus turns from theory to using AI, a bit of practical and down-to-earth advice is needed. These speak to privacy and security, but should be considered best practices.
Top 10 Things Not to Share with AI
01.
No personal information: Name address, phone, etc.
02.
No financial information - Name, accounts, etc.
03.
No passwords or logins, account details, signins
04.
No sensitive or health information, medical conditions
05.
Personal Details: private/confidential experience/relationships
06.
Classified or confidential work information
07.
No tracking data (especially real-time location)
08.
No security or public safety information, location details
09.
No private or sensitive images, beware child images
10.
Sensitive beliefs or other views you wish to keep private
Turn history off when using AI whenever possible, often history access means that your data can be used by that company.
Never use AI without first having basic guidelines listed on a quick reference sheet.
It is each person's responsibility to ensure that the work they do with AI seeks fair treatment of all people.
Always keep secrets safe, whether about a person or business - privacy should always be respected. Read privacy statements by AI companies to ensure they meet your standards.
AI use is a partnership with humans who must be kept in the loop at all times to ensure that all people are respected and protected.
LESSONS LEARNED
As we are, so is the AI we create for ourselves
The aim of this lesson was to provide a comprehensive understanding of the foundational principles and practical applications necessary for navigating the complex landscape of AI ethics.
The training emphasized the importance of both ethical and responsible AI, making clear distinctions between the two. Ethical AI focuses on the broader moral implications and societal impact of AI technologies, while responsible AI pertains to the practical measures and policies that ensuring AI systems function safely, transparently, and fairly - as they were designed.
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Key Takeaways:
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The distinction between ethical AI and responsible AI
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External training offered on ethical and responsible AI
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How everyday users can improve AI through their interactions with it
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Best Practices
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Top 10 List of What Not to Share with AI
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5 Guides for AI Caution during use
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Congratulations!
You have completed Lesson 2!
Please move onto the next lesson.​
Introduction: Generative AI 101
Lesson 1: AI Ethics for Everyone
Lesson 2: Practical Wisdom (You are here)
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