AI iQ, Inc. Non-Profit

[🎧 #Podcast episode 309] I recently met Dr. Seth Dobrin through Hunter Muller at the great HMG Strategy event in #Philadelphia. Dr. Seth's talk was right before mine. Felt like we were completing each other's sentences. I knew you had to meet him. 📘 Dr. Seth was the first Chief Global #AI Officer at IBM. He's now the #CEO of Qantm AI, LLC. and an investor in #ResponsibleAI tech at 1infinity Ventures. He recently published "AI iQ for a human-focused future: strategy, talent, culture" which is an excellent read. 🔮 We discussed the role of AI in job creation, perpetuating cultural bias, and how to prepare for rapid workforce changes. Stick around to the end for Dr. Seth's predictions about what's ahead. #FutureOfWork #TeamHuman https://lnkd.in/gmg5K4dz

Following our previous cooperation on repositories of assistive technologies and accessibility solutions, OECD publishes a report addressing the impact of AI on equity and inclusion in education. Report - https://lnkd.in/eDwmAQKf It focuses on learner-centered, teacher-led and other institutional AI tools.  It highlights the potential of AI in adapting learning while also addressing challenges such as access issues, inherent biases and the need for comprehensive teacher training. The paper emphasizes the importance of balancing the potential benefits of AI with ethical considerations and the risk of exacerbating existing disparities. It highlights the need to address privacy and ethical concerns, enhance cultural responsiveness, manage techno ableism and provide continuing professional learning in AI. Samo Varsik Lydia Vosberg with Andreas SCHLEICHER Hannah Borhan Lucie Cerna Marc Fuster Rabella Paulo Santiago Quentin Vidal Eda Cabbar Bourdon Daiana Torres Lima #ai #ethics #policy #accessibilty #equity #education

Free #AI courses from The Alan Turing Institute! What's better? You're free to reuse, adapt and share the materials, as long as credit is given to the creators! Courses: 🔸AI fairness on social media https://lnkd.in/erP3DdfV 🔸Operationalising ethics in AI (Intermediate) https://lnkd.in/evEf4FdF 🔸Introduction to transparent machine learning https://lnkd.in/ezrv3b_d 🔸Standards at a glance https://lnkd.in/e2SUdDzE 🔸Operationalising ethics in AI (Expert) https://lnkd.in/eSUXVTSv 🔸How data lies https://lnkd.in/eXBndTDt 🔸Assessing and mitigating bias and discrimination in AI: beyond binary classification https://lnkd.in/eMVRWmDE 🔸Fairness and responsibility in human-AI interaction in medical settings https://lnkd.in/ewV3pHMt 🔸Assessing and mitigating bias and discrimination in AI https://lnkd.in/e9gpdDGm 🔸Data visualisation and visual analytics https://lnkd.in/eMBydPwg 🔸Mathematics of machine learning (Summer School) https://lnkd.in/emz796Nz Training Site: https://lnkd.in/ebUHiiTw Course Listing: https://lnkd.in/eKHMrDdc

"How do we govern GenAI?" asks Dr. Seth Dobrin, CEO of Qantm AI, LLC. and newly announced Executive in Residence at HMG Strategy in this HMG Update! To view the full episode, become a part of our Global Strategic Advisory Council, where you can tap into world-class experts like Seth— who will be speaking in our 16-city North American Fall 2024 tour, starting with this week's Philadelphia C-Level Technology Leadership Summit. https://lnkd.in/e4ncEhTA #genai #cybersecurity #thoughtleadership #technologyevents #cio #ciso #cto #cyber #careerascent #leadership #futureofwork #hmgstrategy

The dominance of US and Chinese tech companies in the development of AI technologies has given rise to concerns about a new form of colonialism – one that is driven not by physical force but by the imposition of cultural norms and biases through technology. In an Op-Ed by Dr. Seth Dobrin, CEO of Qantm AI, LLC., he sheds light on how AI learns our biases, and how we can harness the power of AI to build a more just, equitable, and inclusive world.

LISTEN NOW: LLMs Will Never Be Responsible, Safe or Green (18 MIN) Good Intentions, Bias Control, and Cultural Imposition.

Thank you #Fortune Brainstorm AI for having Dr. Dobrin's first book signing. Special appreciation goes out to Celine Law the Assistant Event Manager and Caitlin Farrell the Program Manager for helping make sure everything was ready and successful. #AI #aisecurity #aisafety

What real human problems will ai solve? THAT is the true question we must ask. Having used ai to create billions in new value, hear what Dr. Seth Dobrin (bio below) has to say on the latest episode of Hindsight with Kanhai Kapadia. In "Solving Real Human Problems Using AI", we explore the issues, implications, and investments that are needed for AI - and people - to thrive. Seth's experience: Geneticist, generating $4B incremental sales at Monstanto, IBM's first Chief AI Officer, current CEO of AI advisory Qantm AI, LLC., Founder/GP deploying $500M into AI at Silicon Sands Venture Studios, one of the top 100 voices in ai according to DataIQ, and author of upcoming book "AI IQ for a human focused future". 👂 Catch the 90 second overview and full episode by going to: https://lnkd.in/gw-qiqnr #AI #HumanCentered #CEOMindset

List of 27 papers given to John Carmack by Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." - shared by @keshavchan on Twitter. 1. The Annotated Transformer (https://lnkd.in/evrqygtu) 2. The First Law of Complexodynamics (https://lnkd.in/eu5aucVm) 3. The Unreasonable Effectiveness of RNNs (https://lnkd.in/e9wht6Js) 4. Understanding LSTM Networks (https://lnkd.in/eY4WnawT) 5. Recurrent Neural Network Regularization (https://lnkd.in/ebrwzuwY) 6. Keeping Neural Networks Simple by Minimizing the Description Length of the Weights (https://lnkd.in/e4f4s9h6) 7. Pointer Networks (https://lnkd.in/e6qcSXYT) 8. ImageNet Classification with Deep CNNs (https://lnkd.in/etrjwGmY) 9. Order Matters: Sequence to sequence for sets (https://lnkd.in/eYrjEHRP) 10. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism (https://lnkd.in/ezFVyhyk) 11. Deep Residual Learning for Image Recognition (https://lnkd.in/ejJT79DE) 12. Multi-Scale Context Aggregation by Dilated Convolutions (https://lnkd.in/eN-p4Hi9) 13. Neural Quantum Chemistry (https://lnkd.in/eChquKQi) 14. Attention Is All You Need (https://lnkd.in/eakhSPXf) 15. Neural Machine Translation by Jointly Learning to Align and Translate (https://lnkd.in/eZfrwxDG) 16. Identity Mappings in Deep Residual Networks (https://lnkd.in/eVuuYTTy) 17. A Simple NN Module for Relational Reasoning (https://lnkd.in/e9xYieKc) 18. Variational Lossy Autoencoder (https://lnkd.in/e8XZrzcn) 19. Relational RNNs (https://lnkd.in/eEs3e_MJ) 20. Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton (https://lnkd.in/e7V-jw8S) 21. Neural Turing Machines (https://lnkd.in/e3qidTvP) 22. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (https://lnkd.in/eYDgB9cA) 23. Scaling Laws for Neural LMs (https://lnkd.in/ev9s6Pz2) 24. A Tutorial Introduction to the Minimum Description Length Principle (https://lnkd.in/eUJtMXDU) 25. Machine Super Intelligence Dissertation (https://lnkd.in/ebCNq64x) 26. PAGE 434 onwards: Kolmogorov Complexity (https://lnkd.in/ecV-qdfV) 27. CS231n Convolutional Neural Networks for Visual Recognition (https://cs231n.github.io/) Image credit: Amir Cohen/Reuters #learning #generativeai #llms