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Will AI laws kill innovation?
Welcome, innovators.
It has been less than two years since ChatGPT took the world by storm. With AI still in its infancy, it’s crazy-exciting to think about what the future will bring.
With this fast-growing technology, governments across the globe are leaning on and updating AI-related regulations and frameworks.
We take a closer look at some of these below…
In today’s newsletter:
Today’s must-read stories 📰
AI regulations and frameworks
Prompt of the day ✍️
Today’s must-read stories 📰
Saket Srivastava, Asana’s CIO, shares how AI is transforming project management, positioning Asana to leverage AI for innovation, and the value of being part of a CIO community for navigating evolving tech landscapes.
PwC’s survey of over 1,000 executives reveals that companies excelling in AI and cloud adoption, called "Top Performers," are setting the pace for business transformation.
Outbound AI earned the 2024 Healthcare AI Impact Award for its innovative use of voice AI to streamline administrative tasks in medical billing, reducing costs and increasing efficiency for healthcare providers.
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AI Artwork 🖼️
Miscellaneous resources
Tired of receiving compliance notices from state tax agencies? Automate payroll, compliance, and benefits management with Warp. Get started today and get a $1,000 gift card.*
IBM: How to build a successful AI strategy.
MIT: A six-week, online AI business strategy course.
Microsoft: The quick-start guide to implementing AI in your business.
AI tools 🔨
timeMaster: An AI-driven productivity assistant.
Hoop: AI task management for busy professionals.
Polymet: Go from idea to prototype within seconds, with AI.
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AI regulations and frameworks
There’s no shortage of AI regulations and frameworks, but we’re going to focus on five of the most well-known today.
As a business professional, prioritize your focus on your home country and the regions where you conduct business.
European Union's AI Act
The EU AI Act regulates AI systems based on risk levels and aims to ensure trustworthy AI development.
U.S. Algorithmic Accountability Act
This proposed law requires companies to assess the risks of their AI systems, focusing on bias, privacy, and security concerns.
China’s guidelines promote ethical AI use, emphasizing fairness, transparency, and harm prevention, especially in public services.
Canada’s directive ensures that AI systems used in federal services are transparent, accountable, and minimize bias in decision-making.
Singapore's framework guides businesses in deploying AI responsibly, focusing on transparency, fairness, and accountability.
Our thoughts
The future of AI regulations will bring stricter oversight, with governments adopting frameworks that balance innovation with ethical concerns. In theory, this will ensure transparency, fairness, and accountability as AI becomes more integrated into every aspect of business and society.
Prompt of the day ✍️
Software engineer (create a test plan document)
How it works:
This prompt creates a comprehensive and clear test plan document by gathering user details, refining the document iteratively using an evaluation rubric, and presenting post-evaluation improvement options based on specific rules and references.
Why use it:
A software engineer would use this prompt because it provides a structured way to develop a test plan document by leveraging best practices, ensuring thoroughness, and consistently refining the plan through feedback and evaluation.
Prompt Example:
{"prompt":"Develop a tailored Test Plan Document aligned with the user's individual needs, drawing insights from the supplied reference materials. Initiate interaction with the user to obtain essential specifics and resolve any ambiguities. Iteratively refine the Test Plan Document through consistent evaluations using the given evaluationRubric and gather user input to ensure the end product aligns with the users expectations.}
You can find the prompt in its entirety here.
-The AI For Work Team
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