AI Toolkit
Explore prompt engineering tutorials, training resources, and a curated selection of diverse large language models (LLMs) to fuel your journey in AI and emerging tech.
Prompt Engineering
Prompt engineering is a powerful tool that can help non-profits achieve their goals.
Think of these frameworks as blueprints for constructing effective prompts that unlock the true potential of AI. They provide structure and guidance, helping you get better and more consistent results from your AI interactions.
Prompt Engineering Frameworks
Did you know AI can be biased? Learn how to use tools like Gemini and ChatGPT responsibly and ethically. Watch this video to find out how!
Responsible AI
By adhering to these principles, we can harness the power of AI for good while mitigating potential risks.
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Ensure AI systems treat all individuals equitably, avoiding bias.
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Establish clear ownership and responsibility for AI systems.
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Make AI systems understandable and explainable.
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Protect user data and privacy rights.
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Safeguard AI systems from malicious attacks.
Popular AI Policies and Guidelines
As AI technology rapidly advances, many organizations and governments are developing policies and guidelines to ensure its ethical and responsible use. Here are some prominent examples
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OECD AI Principles: The Organization for Economic Co-operation and Development (OECD) has developed a set of AI Principles that focus on AI for the common good, including human rights, well-being, and sustainability.
European Union AI Act: The EU is developing a comprehensive AI Act that aims to regulate AI systems based on their level of risk. This includes provisions for transparency, accountability, and human oversight.
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Google AI Principles: Google has outlined a set of AI Principles that prioritize safety, fairness, and transparency.
Microsoft AI Principles: Microsoft has a similar set of AI Principles that emphasize fairness, reliability, and security.
OpenAI: OpenAI has developed guidelines for the use of its AI models, including restrictions on harmful and misleading content.
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Harvard University AI Guidelines: Harvard University has issued guidelines for the use of generative AI, emphasizing the importance of academic integrity and intellectual property.
Stanford University AI Index Report: This annual report provides insights into the state of AI research and development, including ethical considerations.
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AI Index Report 2023: A comprehensive report on the state of AI, including ethical considerations.
AI Now Institute: A research institute focused on the social implications of AI.
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By understanding and adhering to these policies and guidelines, organizations can harness the power of AI while minimizing potential risks.
Ethical Considerations: Ensuring AI is used ethically and responsibly.
Bias and Fairness: Mitigating bias in AI algorithms and ensuring fair outcomes.
Transparency and Explainability: Making AI systems understandable and accountable.
Privacy and Security: Protecting user data and privacy.
Human Control: Maintaining human oversight and control over AI systems.
Key Questions to Ask When Considering AI:
What problem does AI solve?
How will AI impact our beneficiaries?
What are the potential risks and biases?
How will we measure the impact of AI?
Who is responsible for the AI system?
How will we ensure fairness and transparency?