#9 Avoiding Ancient Inequality Errors in Tech: Responsible AI and AI2030 Vision

In the grand narrative of technological evolution, the emergence of Artificial Intelligence is a defining chapter, mirroring the monumental shifts of the Industrial Revolution and the dawn of the digital era. Yet, as we leaf through the pages of history, we observe a recurring motif: the unequal distribution of technological advancements across nations, races, genders, and social classes.

Reflecting on the past, the Industrial Revolution opened as a tale of two worlds: one where industrialized nations flourished, and another where less developed regions worsened. A similar narrative unfolded with the advent of the digital age, characterized by the 'digital divide' – a chasm separating the technologically privileged from the underserved. This divide transcended geographical boundaries, manifesting within nations along the lines of race, gender, and economic stature.

The AI revolution brings transformative possibilities in healthcare, education, and beyond. Yet, this potential comes with a challenge: ensuring AI doesn't deepen existing inequalities. It's crucial to make AI accessible to everyone, fostering an environment of innovation and equitable power distribution. This shift towards inclusivity is vital to ensure AI's benefits reach all corners of society, marking a turn from elitist to egalitarian technology. Let's not repeat the same mistakes that we did, and to achieve this cause, we need to be part of this AI journey individually and collectively. That's why I joined AI 2030 as a member of the Board of Advisors.

AI 2030 is an initiative aimed at harnessing the transformative power of AI to benefit humanity while minimizing its potential negative impact. The initiative is driven by the belief that individuals from all backgrounds and with diverse perspectives can drive positive change and ensure AI2030's positive impact on society. The initiative addresses various aspects of responsible AI, including governance, regulations,industry-specific frameworks, principles, best practices, and cutting-edge tools and solutions. This organization has fellows consisting of a diverse group of prominent experts leading the way in responsible AI development. Let's check a couple of them.

• Anthony Nystr?m : Director Of Engineering, AI and Data Science, WorkBoard
• Phaedra Boinodiris : IBM Consulting's Global Leader for Trustworthy AI, IBM
• Seyhun H. : Director of Analytics, Fifth Third Bank
• Chinmay Nerurkar : Principal Engineer, AI/ML Engineering, Microsoft
• Saurav Pandit : Director, Data Science, Shutterstock
• Guadalupe Hayes-Mota : CEO & Founder, Healr Solutions
• Harry Mendell : Data Architect and Artificial Intelligence, Federal Reserve Bank of New York
• Diya Wynn, Responsible AI Lead, Amazon Web Services (AWS)and more. Check out Xiaochen Z. 's profile to learn more about them.

What I Read This Week in Artificial Intelligence

Zuckerberg outlines his bold multi-billion dollar vision to build open-source AGI.

BMW announced its humanoid robot rival to Tesla's Optimus.

The first 100,000 Rabbit R1 purchases will come with a year of Perplexity Pro.

FDA Clearance Granted for First AI-Powered Medical Device to Detect All Three Common Skin Cancers.

Microsoft launched a "Pro" plan for its Copilot.

OpenAI changed its policy in order to accommodate military customers and projects.

Amazon launches generative AI tool to answer shoppers’ questions.

Arizona State University announced it has become the first higher education institution to collaborate with OpenAI.

Generative AI discussions have dominated private and public discussions at the World Economic Forum in Davos.

will.i.am announces new radio show with AI co-host

MIT researchers have discovered compounds capable of killing the drug-resistant bacteria MRSA responsible for over 10,000 deaths annually in the U.S.

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Newly Released AI Tools Worth Your Attention

HeyGen: Effortlessly produce studio-quality videos with AI-generated avatars and voices.

VideoMaker - by invideo AI: A new GPT on the store that can create AI videos from your prompts.

Draw to Search Art: Merve Noyan 's application where you can draw or upload an image and find the closest artwork among 10k art from wikiart dataset.

BONUS CONTENT #1

Free LLMOps course by Andrew Ng

BONUS CONTENT #2

Sam Altman, Marc Benioff, Julie Sweet, Jeremy Hunt and Albert Bourla talk technology, moderated by Fareed Zakaria.

And... cut! ?? That's a wrap on this edition's AI extravaganza. See you on the next one! Don't forget to like, share, and subscribe!