In partnership with

Stay up-to-date with AI

The Rundown is the most trusted AI newsletter in the world, with 1,000,000+ readers and exclusive interviews with AI leaders like Mark Zuckerberg, Demis Hassibis, Mustafa Suleyman, and more.

Their expert research team spends all day learning what’s new in AI and talking with industry experts, then distills the most important developments into one free email every morning.

Plus, complete the quiz after signing up and they’ll recommend the best AI tools, guides, and courses – tailored to your needs.

Sign up to start learning.

We’re excited to announce that the AI for Impact Newsletter will now be published twice a week, bringing you even more timely updates, insights, and resources on how AI is transforming the world for the better.

Whether it’s cutting-edge research, ethical dilemmas, or inspiring applications of AI for social good, we’ll deliver the content you care about directly to your inbox. We’d also love to hear from you!

Got tips, news, or feedback? Drop us a line at [email protected] or simply respond to this message. Your input makes this newsletter better every week.

🌍 Challenges in AI
While AI holds immense promise, several challenges must be addressed to ensure its sustainability and equitable impact. Here are some of the most pressing issues (of course there are many more we will explore)

• 💧 Water and Energy Usage
  Training AI models is resource-intensive. For instance, data centers powering AI technologies require substantial water for cooling purposes. This demand contributes to water scarcity concerns, especially in areas already facing water stress.
  📖 Read more: https://www.nature.com/articles/d41586-023-03768-y

• 🌐 Access Disparities
  The benefits of AI are not distributed evenly. While AI has become increasingly important, multiple infrastructure issues remain a significant barrier in low-income countries, limiting their ability to leverage AI in critical sectors such as healthcare and education.
  📖 Read more: https://unesdoc.unesco.org/ark:/48223/pf0000377251

• ⚖️ Bias in Training Data
  Many AI systems are trained on datasets that lack diversity, leading to biases in their outputs. Studies have shown that facial recognition software is less accurate for darker-skinned individuals, with error rates of up to 35% for darker-skinned women compared to less than 1% for lighter-skinned men.
  📖 Read more: https://www.media.mit.edu/projects/gender-shades/overview

• 🛠️ Exploitation in AI Training
  The development of AI often relies on labor from the Global South, where workers are tasked with data labeling and content moderation under exploitative conditions. Reports have highlighted that these workers are frequently underpaid and subjected to poor working environments, raising significant ethical concerns.
  📖 Read more: https://time.com/6247678/openai-chatgpt-kenya-workers

📹 Watch This:
For a deeper understanding on Energy and AI see

News & Resources

Joke of the Day

Why did the neural network break up with its partner?
It just couldn’t handle all the mixed signals!

🌍 News Highlights

• 🛒 AI Hidden in Plain Sight
  A Gallup poll reveals that many Americans unknowingly rely on AI in everyday products, from voice assistants to online recommendations. As AI becomes increasingly embedded in daily life, the challenge is to ensure its benefits are accessible and equitable for all. Read more.

• ⚖️ AI and Racial Justice
  AI holds both promise and peril for marginalized communities. A deep dive explores how nonprofits are navigating AI's dual impact—using it to advance racial justice while mitigating the risks of bias and inequity. Read more.

• 📊 Measuring AI for Good
  How do we know if AI-driven initiatives for social impact are truly working? The Stanford Social Innovation Review discusses new frameworks for evaluating the outcomes and ethical implications of AI for Good projects. Read more.

• 🌏 U.S. and China’s AI Collaboration
  Despite geopolitical tensions, the U.S. and China are leading global AI collaboration efforts, shaping the future of innovation and regulation. Rest of World examines this dynamic and its implications for international AI governance. Read more.

💼 Organization to Watch
Probably Good
Focused on empowering individuals to build high-impact careers, Probably Good offers resources and opportunities to align talent with meaningful, world-changing work—especially in AI ethics and safety. Explore their job board.

🔗 LinkedIn Connection
Belén Sánchez Hidalgo
A champion for trustworthy AI, Belén Sánchez Hidalgo is a Senior Data Scientist specializing in AI governance, policy, and ethics. Recognized by VentureBeat’s Women in AI Awards 2022, she’s a leading voice in responsible AI development. Connect here.

There’s a reason 400,000 professionals read this daily.

Join The AI Report, trusted by 400,000+ professionals at Google, Microsoft, and OpenAI. Get daily insights, tools, and strategies to master practical AI skills that drive results.

Sign up now for free and work smarter, not harder.

AI for Impact Opportunities