Categories
Book Review

Islands in the Cyberstream

The book “Islands in the Cyberstream: Seeking Havens of Reason in a Programmed Society” is an interview between Joseph Weizenbaum and Gunna Wendt. This is how this books ends:

“It is a widely held but a grievously mistaken belief that civil courage finds exercise only in the context of world-shaking events. To the contrary, it’s most arduous exercise is often in those small contexts in which the challenge is to overcome the fears induced by petty concerns over career, over our relationships to those who appear to have power over us, over whatever may disturb the tranquility of our mundane existence.”

This is actually a quote from his book “Computer Power and Human Reason”. The quote is there because her daughter asked him to read his own book.

Professor Weizenbaum came to fame for creating Eliza, a natural language processing program that explores interactions between humans and machines. You can read more it on Wikipedia here https://en.wikipedia.org/wiki/ELIZA. What surprised Weizenbaum was how fast and tight the relationship between humans and the program developed. His own secretary who knew how the program worked feel into deep conversation with the program and even referred to it as “doctor”.

Prof Weizenbaum became a critic of the role of computers in our society, he says he is a social critic not a computer critic. Through the interviews we get to view his insights. When asked about the influence of computer on society he suggests we change perspective and ask “what influence does society have on the computer, on its development and its meaning?” He states the fact that the “computer was born in war and that the military made and sponsored all computer research and advances”. Most great applications of technology end up to be used in the military, in the US context.

The interview gets into discussing misinformation with examples of how war lies were communicated via the television. He says “We can never really be sure if what we are seeing on the television is reality or if it is simulated”.

He gets into discussing technology and its introduction in schools. I quote:

“The screen is not without danger for children. On the one hand – we have talked about this already – because they experience that screens are a source of truth, daily at home. Maybe I should replace ‘truth’ with ‘reality? Children experience reality through the screens. I don’t want to talk about how much time they sit in front of television on average, it is no doubt a lot, but that’s not what this is about.”

This reminds me the challenges we are experiencing with the many hours we are immersed in social media bubbles. How hard it is for our “WhatsApp aunties” to spot AI generated videos. If adults are facing psychological challenges with this exposure, how much would it affect children’s thinking. He goes further into his thoughts on learning:

Referring to learning, what I think is very dangerous is the way that knowledge is picked up from screens. It reaches the watcher without having to exert any kind of struggle. Absolutely effortless – you could say at the push of a button. But that isn’t how we learn. I can only repeat: learning does not mean the piling up of knowledge. Knowledge comes to the learner only with a certain commitment, with a certain effort and struggle, or else it doesn’t stick. It has to be developed, it doesn’t just fall in the lap.

He cautions against ignoring problems that actually exist and engineering problems that technology will solve. For example he says instead of spending budgets on computers maybe we should focus on issues like education feeding programs that play a critical role in how children learn in school.

Through the book we see how Prof Weizenbaum is surprised by how the scientific community views humans as seen in the follow quotes:

Hofstadter’s answer was: Firstly he didn’t worry about it and secondly, the human race is not the most important thing in the universe.

“Another important American philosopher, Daniel Dennett from Tufts University has set the challenge: “We must lose our reverence for life before any real progress can be made in Artificial Intelligence.”

Anyway, today in America only a few people protest the idea that the human is at root just an information processing machine or that pieces of living people can be replaced with artificial organs.

He is very troubled by how many have reduced humans to information processing machines that can be replaced a robot that becomes human. Imperfect machines. He states that “Only a human can confirm the humanity of another human.”

Prof Weizenbaum emphasis on the need for an individual, the island, to be able to critically think on our own. He is against a certain specific laziness, intellectually or spiritually laziness. He says:

In our society we rarely have the opportunity to sail alone on the sea. We live in our society almost completely in the harbor, not always the same one, sometimes this harbor, sometimes that one. And mostly there are other people who are responsible for us. We seldom have the opportunity or we are seldom challenged to truly decide things for ourselves. In our consumer society, for example, it is the advertisements that recommend, you could even say, command what we should do. At a certain degree of wealth we can be lazy – I mean especially intellectually or spiritually lazy.

I first got to hear of Prof Weizenbaum social criticism through the Tech Won’t Save Us podcast. I recommend listening to the episode here https://techwontsave.us/episode/182_ai_criticism_has_a_decades_long_history_w_ben_tarnoff

This a great social critic. Looking forward to getting and reading his book “Computer Power and Human Reason”.

Categories
startups technology thoughts

AI & other technologies: Are we on the Receiving End?

In the book Prosperity Paradox, Clayton M. Christensen, Efosa Oromo & Karen Dillion bring up an interesting concept of “how to identify high-potential pockets of nonconsumption” with regard to solutions that you might be providing. They state there are four things to look out for: skill, wealth, access and time. This got me thinking about examples where this might have been used.

Facebook is a good example. They realised that a large number of people are not using their platforms because of a number of issues.

  • Lack of internet access – so they came up with platforms like internet.org to get more people connected and accessing their platform with the goal of getting more eyeballs seeing ads, their revenue model
  • Low end devices – sitting in San Francisco, you might not understand the low internet speed or low end devices that your customers are using. Facebook realised that access to Facebook is slow and devices had less storage, memory capacity in emerging markets. To solve the affordability challenge, they launched Facebook Lite. They even acquired a startup that worked on this, story here https://tech.facebook.com/engineering/2020/8/facebook-lite-made-in-tel-aviv/

Google is also an interesting example. At the core of Google’s model is selling ads. To address the lack of ad buyers in new markets they focused on the lack of digital marketing skills. They went on to launch the a campaign to train 1 million people on the African continent. Story here https://blog.google/around-the-globe/google-africa/one-million-trained-task-getting-africa-digital-just-beginning/ This is very similar when you look at the Android ecosystem. Google has invested a lot in getting more people skilled to develop apps on the Adroid platform. Developer communities have been a success to drive more apps developed on the Android ecosystem.

There is an interesting discussion around emerging technologies on the African continent. It was blockchain technology a few months ago and now the hype train is on artificial intelligence. The question again is what’s our position around these technologies. There are those who are worried that the technology will be built outside and consumed on the continent. There are a number of challenges that can be looked at in the lens of what the book ‘Prosperity Paradox’ states as the reason for nonconsumption.

  1. Skill – do we have the skills to build using these emerging technologies. To solve this should we focus on building skills to build solutions using the emerging technologies? Will the skill remain or leave for better opportunities away from home?
  2. Wealth – do we have the capital to afford the expensive compute need to build artificial intelligence models? The compute needed is not cheap. Solution could be invest in the startups working on this. We need to remember startup success rates is low, are we willing to burn that money. Should academia focus our research efforts towards this? Is the government going to provide grants to academia to pursue this?
  3. Access – do we have access to data the raw material for artificial intelligence? For voice technology, languages like English have enormous digital ready data for training. Is the solution to build our own datasets? Should we make this datasets open for all of us to use? Will big tech take the data and use their readily available infrastructure to build tools for us to consume?

These are thoughts that have lingered in my head for a while and through my experience through my fellowship with the Mozilla Foundation building voice datasets for the Kiswahili language.

Please share your thoughts in the comment section 🙂