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Education Reading

Latest Read: Outnumbered

Outnumbered: From Facebook and Google to Fake News and Filter-bubbles – The Algorithms That Control Our Lives by David Sumpter. He is a professor of Applied Mathematics at the University of Uppsala, Sweden. David was awarded the UK’s Institute of Mathematics 2015 prize for communicating mathematics to a wider audience in his research How to Model Honeybee Colonies.

Outnumbered: Exploring the Algorithms That Control Our Lives by David Sumpter

As this title implies, the exploitation of algorithms is brought into focus. The timing of reading this book today is almost perfect. The abuse by Facebook and Google continue. The fallout of the Cambridge Analytica scandal also continues. In fact, David’s work is perhaps even more poignant as OpenAI’s ChatGPT-3 has taken the world by storm.

Perhaps now in early 2023 the coming GPT4 will shift the common misconception that AI algorithms are actually more advanced that many considered.
While the world was somewhat confused by the integrity of ChatGPT-3 data, OpenAI’s collaboration integrating Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT.
Give it less than six to eight months and this will spin the ChatGPT non-believers into new knots.

However there are certainly many interesting examples that follow revealing when statistical techniques require advanced mathematical knowledge and ultimately requiring more time (and effort) to fully understand and ultimately communicate outcomes effectively to general audience.

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Artificial Intelligence Education Innovation Reading Technology

Latest Read: The Ten Equations That Rule the World

The Ten Equations That Rule the World by David Sumpter. He is a professor of Applied Mathematics at the University of Uppsala, Sweden. David was awarded the UK’s Institute of Mathematics 2015 prize for communicating mathematics to a wider audience in his research How to Model Honeybee Colonies.

The Ten Equations That Rule the World by David Sumpter

David provides a deep overview of ten equations: Betting, Judgement, Confidence, Skill , Influencer, Market, Advertising, Reward, Learning, and The Universal Equation. Each equation (algorithm) includes stories that certainly provide deeper understanding.

On the other hand, the opening chapter did not really connect with me. The Betting Equation focuses on UK soccer and for reveals how betting odds can be adjusted against reality.

Nevertheless, I am not sure why this did not resonate as the rest of the book is just delightful to read.

In addition, the second chapter, Judgement Equation is the basis of Bayesian statistics and this storyline really stuck with me.

Furthermore, it is great to see David reference The Signal and the Noise by Nate Silver within the third chapter, The Confidence Equation.

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Education Globalization Google Innovation Network Reading Technology

Latest Read: Algorithms To Live By

Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian and Tom Griffiths. Brian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and New Yorker favorite book of the year. Tom is a professor of psychology and cognitive science at Princeton University. In addition, he directs the Institute of Cognitive and Brain Sciences.

Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian, Tom Griffiths

At first glance the idea of brining algorithms into our daily lives seems a bit too much, even for a budding computer nerd. At the same time, Brian and Tom prove that most of us are already doing this daily.

I recall spending many hours programming SQL while living in Chicago and realizing how much more efficient my grocery shopping would be if I actually transformed my shopping list into a SQL table:

SELECT * FROM FoodGroup
ORDER BY GroceryStoreIsle;

So I can certainly agree. Yet this idea still may seem daunting. If you begin thinking about repeating tasks you perform, even laundry should certainly make you believe there is a better way.

Algorithms will certainly make this possible. Therefore, you may be spending too much time repeating tasks. This is where the book reveals how you can become efficient, by sharing the history and development of many common algorithms. You will certainly discover a few frameworks.

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Artificial Intelligence Education Innovation Network Reading

Latest Read: The AI Delusion

The AI Delusion by Gary Smith. Gary holds a Ph.D. in Economics is a professor Economies at Pomona College. He was a 1967 Woodrow Wilson Fellow and a 1968 Yale University Fellow. He was awarded a Stanford Research Institute Grant in 1978 and a NSF grant for an economics computer lab beginning in 1995.

The AI Delusion by Gary Smith

Gary certainly provides a solid narrative that artificial intelligence is not perfect. On the contrary, it is quite far from perfect. As a result, we should be aware of how much blind faith is given to so many artificial intelligence services. We do this at our own peril.

IBM’s Watson is an example. Gary explains why Watson, a question-answering computer system capable of answering questions posed in natural language is a bad match for healthcare but can be an absolutely wonderful solution in other markets.

The AI Delusion certainly also reveals how many times artificial intelligence systems have simply failed. These lead to important lessons. At the same, time Gary does acknowledge that today’s machine learning has solved problems thought impossible just twenty years ago.

For example, the Obama campaigns in 2008 and his 2012 re-election deployed data analytics that were critical in his win and re-election. Yet, the Hilary Clinton campaign followed data insights from a machine learning system named Ada. This big data system advised against campaigning in Michigan and other states. This so upset former President Bill Clinton that he attempted to persuade the campaign to change strategy, however he was overruled by Ada. A powerful example of big data going off the tracks.

Gary is certainly acknowledging that machines in the future will have the ability to think, however today many are mislead by deep neural networks. Many on the surface associate brain neurons to artificial intelligence’ neural networks. Neural networks do not mimic the brain. Neural networks are indeed powerful programs that execute complex mathematical programs. However, today’s neural networks do not understand words, or images.

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Artificial Intelligence Education Innovation Reading Technology TED

Latest Read: Hello World

Hello World: Being Human in the Age of Algorithms by Hannah Fry, Today Hannah is a senior lecturer at University College London’s Centre for Advanced Spatial Analysis.

Hello World Being Human in the Age of Algorithms by Hannah Fry

Generally speaking, Hannah has written a wonderful book addressing algorithms and artificial intelligence. Society has certainly fallen behind the moral implications of algorithms and Hannah speaks truth to power.

Above all, do not let the idea of learning about algorithms, artificial intelligence, or machine learning intimate you. Hannah explains all of these terms with easy to understand examples. This is why her book is popular and well regarded.

I really appreciate how Hannah is addressing algorithm technology across the following chapters: Power, Data, Justice, Medicine, Cars, and Crime. However, I will save her best lesson for last.

Machines that see

So, Hannah reveals artificial intelligence allows a computer to identify dogs. Once a computer has identify over one million dog photos, artificial intelligence can identify dogs like an expert.

Yet, when applying this to breast cancer diagnosis the magic of machine learning can truly shine. Feed a computer millions images of breast cancer tissue images and a local doctor at a small community hospital in remote Iowa can tap into machine learning to help diagnose with a better degree of accuracy once only for a doctor with 20 years of breast cancer diagnosis at Memorial Sloan Kettering Cancer Center in New York City.