📬 Love It or Fear It, AI Is Changing the World!

AI is transforming industries at an unprecedented pace, creating new opportunities while raising critical challenges. The rise of AI isn’t just happening to us; it’s also ours to shape.

This week, experts break down the biggest developments in AI across healthcare, investments, edge AI, and ethics.

We explore how healthcare AI has the potential to save lives but still fails non-Western populations. Meanwhile, AI-native interfaces are making technology more intuitive, and machine vision is streamlining manufacturing like never before. Yet, as AI decides who gets hired, who gets a loan, and who gets left behind, tackling algorithmic bias has never been more urgent.

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Healthcare

The Hidden Bias in AI Healthcare—And How to Fix It

AI is transforming healthcare, but who benefits from these innovations? Many AI-driven medical tools are trained on Western-centric data, leading to biases that impact diagnoses, research, and access to care. This week, HealthUnity explores:

• Cognitive colonialism: how dominant cultures shape AI and scientific progress.

• Bias in healthcare AI: why AI models often fail for non-Western populations.

• Strategies for inclusivity: how ethical AI development can democratize healthcare.

🔹 HealthUnity is a diverse collective of AI experts, researchers, strategists, healthcare professionals, and nonprofit leaders dedicated to breaking silos in healthcare. We drive innovation to improve health outcomes and enhance lives globally through open research, generative AI, and data-driven collaboration.

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Investments

Goodbye Apps, Hello AI: A New Era of AI-Native Interfaces

AI is making apps obsolete as AI-native interfaces take over, allowing users to interact through voice, gestures, and natural language instead of clicking and navigating. This shift follows the evolution from command lines to graphical interfaces to touchscreens, but now AI removes the need for traditional app ecosystems entirely. Instead of opening a weather app, users can simply ask, “What is the weather today?” and AI will handle the rest. 

Ray Vu explores how this paradigm shift will disrupt app-based business models, spark a surge in AI-first platforms, and drive demand for AI infrastructure, semiconductors, and computing power. For investors, the time to act is now because the AI-native era is here.

🔹 Ray Wu is a seasoned venture capitalist with over 20 years of experience developing, marketing, and investing in AI and emerging technologies. As a Managing Partner of Alumni Ventures' AI fund, he focuses on both AI infrastructure and applications.

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EdgeAI

Machine Vision AI Systems Revolutionize Manufacturing and Industry

What if machines could see, think, and optimize industrial processes in real time? Machine Vision AI is making it happen, from flawless defect detection to predictive maintenance that prevents breakdowns before they happen. 

With the market set to triple to $7.2B by 2028, industry leaders like Cognex and SymphonyAI are already shaping the future. The next wave? No-code AI tools that make adoption seamless. Stay ahead as Manish Jain uncovers the biggest breakthroughs redefining manufacturing.

🔹 Manish Jain spent the last 10 years developing Edge infrastructure and Edge AI applications to help optimize industrial use cases and deliver customer outcomes. Join him as he explores how Edge AI makes artificial intelligence faster, smarter, and more accessible.

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AI Ethics

AI Bias: A Problem to Solve or a Feature to Control?

Algorithmic bias isn’t just a glitch; it’s a built-in force shaping society. AI already decides who gets hired, who gets a loan, and who gets left behind, often amplifying discrimination under the illusion of neutrality. Some biases come from flawed data, but others reflect deeper power structures. Yet, as companies race to build AGI, ethics takes a backseat to ambition. 

Tessina Grant Moloney argues that fixing AI requires more than just technical solutions like unbiased datasets and algorithmic transparency. It demands structural change, diverse tech teams, stronger oversight, and a fundamental shift in accountability. The real question: Who’s in control?

🔹Tessina Grant Moloney is an AI ethics researcher investigating the socio-economic impact of AI and automation on marginalized groups. Previously she helped train Google’s LLMs—like Magi and Gemini. She now works as the Content Product Manager at GenAI Works.

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Coming Soon: More AI Tracks, More Expert Insights

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