On this podcast we explore the current state of AI ethics and regulation.

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"Predicting the unknown: The history and the future of AI and data science!" is my new book on data science, which you can get from Amazon.

As a society, we’re in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazon’s Alexa, to Apple’s Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the “sexiest profession.”

This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). How was uncertainty approached historically, and how has it evolved since? What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science? It uses the history of data science as a stepping stone to explain what the future might hold.

Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that’s coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here.

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On this short episode Dr Kampakis covers the latest news on AI ethics, and explains why all leaders and organisations should care.

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Ryan Janssen is the CEO of Zenlytic, merging LLMs, AI and business intelligence.

On this very interesting episode we talk about the power of LLMs, how a startup should approach LLM use, and what the future of AI holds!

Enjoy!

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Join Dr. Stylianos Kampakis and Dr. Clif Lewis, an organizational psychologist, in the much-awaited second installment of their discussion on AI and Organizational Culture.

This enriching conversation delves deeper into the transformative power of artificial intelligence and its profound implications on the fabric of modern-day businesses.

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AI and Web3.0 are changing everything about society and the way we live.

Christos Makridis happens to be at the forefront of research in both areas.

We had the change to jump on a fascinating discussion about how generative AI affects our working lives, before talking about web3.0 and the current state of tokenomics.

We hope you enjoy it!

About the guest

Christos serves as a Research Professor at the W. P. Carey School of Business and Research Affiliate at the Global Security Initiative (both in Arizona State University), an Adjunct Associate Research Scholar at the Chazen Institute in Columbia Business School, a Digital Fellow at the Digital Economy Lab in Stanford University, a Non-resident Fellow at the Institute for Religious Studies at Baylor University, an Adjunct Scholar at the Manhattan Institute, a Senior Adviser at Gallup, a policy adviser, and an entrepreneur.

He is the CEO/co-founder of Dainamic, a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of Living Opera, a web3 startup working to bridge classical music and blockchain technologies.

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What are the critical strategies that can ensure organizations optimize benefits from AI? How can firms refrain from dismissing employees to enhance productivity, but rather, amplify their performance tenfold through AI tool application training?

Artificial General Intelligence (AGI) stands as the holy grail in the realm of artificial intelligence. AGI refers to a type of AI that possesses the ability to understand, learn, and apply knowledge across a broad array of tasks at a level equal to or beyond that of a human.

With this understanding, our quest then becomes deciphering the intrinsic nature of AGI and its fundamental prerequisites. Are large language models (LLMs) like GPT-3 sufficient to achieve AGI, or is there a different route to explore?

TEDx Talker, philosopher, and technologist Josh Bachynski provides intriguing perspectives on these profound questions.

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#AI is creating profound challenges and opportunities for organisations.
At the centre of all this is organisational culture. In this series of short videos, me and Dr Clif P Lewis 🍎🍊 (he/him) are discussing the impact that #AI is having on businesses and how to best adapt in this new environment.
One thing that has become clear in the last few years is that there are no certainties. Whether it's #hybrid vs #remote vs #office, or #AI vs humans, there are going to be winners and losers. And human dynamics are one of the keys to success.

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Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

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I am very proud to announce that the tokenomics auditing framework is published by the Journal of the British Blockchain Association.

Tokenomics, the study of token economies, is a rapidly evolving field that originated around 2017 with the growth of Ethereum and the possibilities it offered for creating tokens. This led to the generation of artificial economies with novel incentive alignment. By 2018, the significance of tokenomics in the Web 3.0 space was widely recognized, driving innovations in blockchain like DeFi, whether through successful lending and borrowing protocols or failed experiments like Terra/Luna.

As blockchain adoption expands, the focus in tokenomics is transitioning from simple utility designs to complex, interconnected economies. One emerging trend is tokenomics auditing, a practice that examines and suggests improvements to token economy designs, which often become too complex to evaluate in practice.

The rise of tokenomics auditing represents a step towards standardization in the field. While still somewhat subjective, there is a growing push to develop an objective, expert-approved auditing framework. This would provide a structure for auditors to follow and assess token economies based on uniform criteria.

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Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

📈 FOLLOW ME ON INSTAGRAM

https://www.instagram.com/stelios_thedatascientist/

🤖 FOLLOW ME ON TWITTER

https://twitter.com/s_kampakis

👔 IF YOU ARE A CEO CHECK OUT THE TESSERACT ACADEMY

http://tesseract.academy

👨‍🎓👩‍🎓 IF YOU WANT TO JOIN MY DATA SCIENCE BOOTCAMPS VISIT BEYOND MACHINE

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