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As the unprecedented data availability and chip power of calculus enable AI to exponentially grow, an equal amount of doubts and ethical questions inform this development. This week the MKAI community was striving to discover the meaning behind ethics in AI. As per its etymological significate, ethics is the underlying sentiment that informs the beliefs, customs, or practices and can help guide us to answer essential questions about the need for regulation, innovation and fairness in AI developments. 

Regulation, innovation and fairness: is this perhaps like a triangle where we are constantly lacking one component that could help us to achieve unity?

We are living in the “AI regulations time”: this is a huge opportunity and responsibility. Decisions made today will dramatically affect the coming decades. For this reason, today more than ever, it is urgent to understand which direction and with which values we want to give shape to the use of AI.

World tech news

While Elon Musk plays with the crypto market, neuroscientists enabled a paralysed man to transform brain signals induced by his thoughts associated with handwriting into text in real-time. Five years ago, when Elon Musk founded Neuralink, the brain-machine interface project seemed like one more outlandish gimmick in a Hollywood movie. However, technological development in recent decades has taught us that reality can exceed our imagination. Indeed, one month ago, Elon Musk Neuralink’s startup shows a monkey with a brain-chip playing videogame by thinking, and Standford’s neuroscientists just enabled a paralysed man to transform brain signals induced by his thoughts associated with handwriting into text in real-time. What a time to be alive!

Speaking of cognitive abilities, have you heard that AI has been learning how to debate? IBM created Project Debater, an AI development program that is able to construct up to 4-minute arguments. Then it processes the human opponent’s responses and continues the debate.

It is likely that General Artificial intelligence will have progressed dramatically by 2050 due to the synergies possible from quantum computing, blockchain, IoT. Wonderful what percentage of the human brain’s 🧠 capabilities AI could replace by 2050? Here’re the results of a recent poll.

After diving deep into the above-mentioned research, questions that arise may be related to how we can ensure that AGI will help humans live meaningful lives? Or how can it improve our current capabilities and understanding of the world around us? Perhaps AGI may disrupt ongoing systems, providing humans with economic freedom and letting us explore a higher level of living on this planet. An optimistic thought?…

Hottest Topics From Community

Returning to the community’s present topics, the Future of AI is being shaped now, and whilst some of us may lose sleep worrying about what will happen. scientists say, sleeping, well more specifically dreaming, trains us for the unexpected. If you lack imagination in your own goals, you can find inspiration in Google’s DeepDream software and see how the “dreams” of AI look.

Still, the sparse, hallucinatory, and narrative nature of dreams contradict several of them. Or does it? This is relevant for Data Scientists too. When it comes to artificial intelligence, a significant issue is the models becoming too familiar with training data while assuming that this training set is a perfect representation of something it might experience. Therefore, it is recommended that we introduce some chaos or noise because we might end up facing overfitting.

Timeline of an Uncomfortable Duality

It’s about the education of the populace. Otherwise, the human race falls headlong into a “1984” scenario. Without every single person understanding what they’re signing up for with products, documents, and services that are driven by all forms of AI, you can’t have informed consent. Once informed, if the people don’t like what they’re getting, they’ll vote with their feet and wallets. – Karen Rea

Although the Marvel Universe is home to many AI characters, we can clearly see a fine line between dystopia and utopia how sci-fi-inspired innovation is affecting our reality.

Google is definitely working on improving their services that affect our daily lives due to the latest news that they’re planning to double research stuff. Paul Levy gave his opinions: 

I do worry that “ethical AI,” in the hands of the likes of Google, will be very narrowly and deceptively defined to suit corporate interests. It is becoming ever more urgent we have a broader and deeper definition, one with moral foundations and one that is the result of a love of humanity and a more comprehensive nature and not the love of shareholder return. AI is still very young, and we need to have foundational conversations and not only functional ones. – Paul Levy

It’s the fact that foundational conversations are more crucial than functional ones. An example of these conversations may as well be OpenAI’s bid to save the world. Their team agrees that both technical and social expertise will be needed for establishing OpenAI’s mission. However, there is an open disagreement that social issues need to be solved from the very beginning. Instead, as things develop, all of us will understand better how technology and human may live in symbiosis one day.

Still, it’s interesting to follow the tech flow and news from the world. All aspects may be considered once the time has come to make some serious decisions related to the course of humanity.

Back to black-box AI models

We believe your head is full of various topics so far! What do you think of the possibility to clear your mind and refresh the memory, in other words, “free your space,” so that you can digest new pieces of information? Well, you may hit the jackpot! Because Facebook is precisely working on this – a model that would forget details when they are no longer needed, freeing up memory.

Perhaps another example of how AI and Human learning is so different? From a human perspective, some would say that we are our memories. Even though the interpretation of these memories changes over the years and, at some point, they fade away, they make us what we essentially are – humans. All the ‘unnecessary’ stuff, the bias you carry through your life, is crucial for us and reflects our environment. The world is our mirror.

And even we are aware of the fact that everything is relative, there is a high probability that algorithms or AI models may think that we are God(s) since we are (currently) their creators. No, you’re not hallucinating, but neural networks might do that.

Until that happens..bear with us! However, if you’re still unsure what we are talking about and some terms just don’t make any sense, feel free to demystify AI in 60 seconds!

Upcoming MKAI events

Focus on AI-driven data monetization

How do we monetize our data, and how do we monetize our content?

By 2025, IDC estimates that around 1.5 billion 5G connected devices will produce more than 175 zettabytes of data each year. A zettabyte is the equivalent of one trillion gigabytes. How will we go about processing this amount of data in AI models?

Also, according to BI Survey, only 17% of companies have an established data monetization initiative, while 13% of companies are currently developing prototypes, with an additional 10% creating a concept. These figures only serve to demonstrate that, in the twenty-first century, data is as valuable as any physical product. Should businesses start rethinking their data monetization strategies and commit to more ethical practices?

At the May MKAI Inclusive AI Forum, we’re going to discuss the exact topic of ‘Rethinking Data Monetization.’ 

The Forum is inclusive, digital, and on Thursday 27th May 2021. Get in touch! We’d love to show you the impact of rethinking data monetization! 

Not yet a part of our community? Come and join us! 

We hope you enjoyed this week’s selection! If any of the topics left a particular impression or resonated with you – feel free to join our focused discussion group on Telegram.

See you next week,

Alex

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Written by: Aleksandra Hadzic

Written by: Aleksandra Hadzic

Analyzing data while providing strategy for growth, reach, and impact of the community at MKAI.
Experimenting with Data Science in Digital Marketing at Studio 33.
Staying up-to-date with digital technology trends. Otherwise, I'm dancing the tango.

Visuals by: Pinal Patel

Visuals by: Pinal Patel

The brains behind the designs at MKAI, I have been assisting distinguished researchers with their research on AI for close to 2 years at Rennes School of Business. Always been a tech aficionado and keen to keep up with emerging trends. Oh, and I'm also a yoga enthusiast.

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Playing Gods – Big Data and Algorithms