Capitalogix

Let's Talk AI Ethics

It's no secret that I've been a proponent of the proliferation and adoption of AI. I've been the CEO of AI companies since the early 90s, but it was the early 2000s when I realized what the future had in store.

A few years ago, in anticipation of where we are today, I started participating in discussions about the need for governance, ethical guidelines, and response frameworks for AI (and other exponential technologies). 

Last week, I said that we shouldn't slow down the progress of generative AI ... and I stand by that, but that doesn't mean that we shouldn't be working hastily to provide bumper rails to keep AI in check. 

There are countless ethical concerns we should be talking about: 

1. Bias and Discrimination - AI systems are only as objective as the data they are trained on. If the data is biased, the AI system will also be biased. Not only does that create discrimination, but it also leaves systems more susceptible. 
2. Privacy and Data Protection - AI systems are capable of collecting vast amounts of personal data, and if this data is misused or mishandled, it could have serious consequences for individuals' privacy and security. The security of these systems needs to be managed, but also where and how they get their data. 
3. Accountability, Explainability, and Transparency - As AI systems become increasingly complex and autonomous, it can be difficult to determine who is responsible when something goes wrong, not to mention the difficulty in understanding how public-facing systems arrive at their decisions. Explainability becomes more important for generative AI models as they're used to interface with anyone and everyone. 
4. Human Agency and Control - When AI systems become more sophisticated and autonomous, there is fear about their autonomy ... what amount of human control is necessary, and how do we prevent "malevolent" AI? Within human agency and control, we have two sub-topics. First, is job displacement ... do we prevent AI from taking certain jobs as one potential way to preserve jobs and the economy, or do we look at other options like universal basic income. We also have to ask where international governance comes in, and how we ensure that ethical standards are upheld to prevent misuse or abuse of the technology by bad actors.
5. Safety and Reliability - Ensuring the safety and reliability of AI systems is important, particularly in areas such as transportation and healthcare where the consequences of errors can be severe. Setting standards of performance is important, especially considering the outsized response when an AI system does commit an "error". Think about how many car crashes are caused by human error and negligence... and then think about the media coverage when a self-driving car causes one. If we want AI to be adopted and trusted, it's going to need to be held to much higher standards. 

These are all real and present concerns that we should be aware of. However, it's not as simple as creating increasingly tight chains to limit AI. We have to be judicious in our applications of regulation and oversight. We intrinsically know the dangers of overregulation - of limiting freedoms. Not only will it stifle creativity and output, but it will only encourage bad actors to go further beyond what the law-abiding creators can do.  

If you want to see one potential AI risk management framework, here's a proposition by the National Institute of Standards and Technology - it's called AI RMF 1.0. It's a nice jump-off point for you to think about internal controls and preparation for impending regulation.  To be one step more explicit ... if you are a business owner or a tech creator, you should be getting a better handle on your own internal controls, as well as anticipating external influence. 

In conclusion, there is a clear need for AI ethics to ensure that this transformative technology is used in a responsible and ethical manner. There are many issues we need to address as AI becomes more ubiquitous and powerful. That's not an excuse to slow down, because slowing down only lets others get ahead. If you're only scared of AI, you're not paying enough attention. You should be excited.

Hope that helps.

Meet The Jetsons: 60 Years Later

Since my last name is Getson, I often get "Jetson" at restaurants.  As the CEO of a tech company focused on innovative technologies, it somehow feels fitting. 

Despite only airing for one season (from 1962-1963), The Jetsons remains a cultural phenomenon.  It supposedly takes place in 2062, but in the story, the family's patriarch (George Jetson) was born on July 31, 2022.  Not too long ago. 

Obviously, this is a whimsical representation of the future - spurred on by fears of the Soviet Union and the space race.  But it captured the imagination of multiple generations of kids.  Flying cars, talking dogs, robot maids, and food printing ... what's not to love?

 

I don't intend to dissect the show about what they got right or wrong, but I do want to briefly examine what they imagined based on where we are today. 

For example, while flying cars aren't ubiquitous yet (like in the Jetsons), we already have driverless cars.  It's likely that by 2062, driverless cars will be pervasive, even if flying cars aren't.  But, frankly, who knows?  That is still possible.

Meanwhile, both George and Jane work very few hours a week due to the increase in technology.  While that's a future we can still envision, despite massive technological improvements, we've chosen to increase productivity (instead of working less and keeping output at 1960 levels).  Even with the expected growth of AI, I still believe that humans will choose to pursue purposeful work.

The Jetsons also underemphasize the wireless nature of today's world.  George still has to go into the office, and while they have video phones, it's still a piece of hardware connected to a wall, instead of mobile and wireless.  2062 is far enough away that holographic displays are still a very real possibility.

Likewise, while we don't yet have complex robot maids (like Rosie), we already have Roombas... and both AI and Robotics are improving exponentially.

Meanwhile, we are in the process of creating cheap and sustainable food printing and drone delivery services ... which makes the Jetsons look oddly prescient. 

And, remember, there are still 40 years for us to continue to make progress.  So, while I think it's doubtful cities will look like the spaceports portrayed in the cartoon ... I suspect that you'll be impressed by how much further we are along than even the Jetsons imagined.

Not only is the rate of innovation increasing, but so is the rate at which that rate increases.  It's exponential. 

We live in exciting times!

A Few Graphs On The State Of AI in 2023

Every year, Stanford puts out an AI Index¹ with a massive amount of data attempting to sum up the current state of AI. 

Last year it was 190 pages ... now it's 386 pages.  The report details where research is going and covers current specs, ethics, policy, and more. 

It is super nerdy ... yet, it's probably worth a skim. Here are some of the highlights that I shared last year. 

Here are a few things that caught my eye and might help set some high-level context for you. 

Growth Of AI

via 2023 AI Index Report

One thing that's very obvious to the world right now is that the AI space is growing rapidly. And it's happening in many different ways.

Over the last decade, private investment in AI has increased astronomically ... Now, we're seeing government investment increasing, and the frequency and complexity of discussion around AI is exploding as well. 

A big part of this is due to the massive improvement in the quality of generative AI. 

Technical Improvements in AI

via 2023 AI Index Report

This isn't the first time I've shared charts of this nature, but it's impressive to see the depth and breadth of new AI models. 

For example, Minerva, a large language and multimodal model released by Google in June of 2022, used roughly 9x more training compute than GPT-3. And we can't even see the improvements already happening in 2023 like with GPT-4. 

While it's important to look at the pure technical improvements, it's also worth realizing the increased creativity and applications of AI. For example, Auto-GPT takes  GPT-4 and makes it almost autonomous. It can perform tasks with very little human intervention, it can self-prompt, and it has internet access & long-term and short-term memory management. 

Here is an important distinction to make … We're not only getting better at creating models, but we're getting better at using them, and they are getting better at improving themselves. 

All of that leads to one of the biggest shifts we're currently seeing in AI - which is the shift from academia to industry. This is the difference between thinking and doing,  or promise and productive output.

Jobs In AI

via 2023 AI Index Report

In 2022, there were 32 significant industry-produced machine learning models ... compared to just 3 by academia. It's no surprise that private industry has more resources than nonprofits and academia, And now we're starting to see the benefits from that increased surge in cashflow moving into artificial intelligence, automation, and innovation. 

Not only does this result in better models, but also in more jobs. The demand for AI-related skills is skyrocketing in almost every sector. On top of the demand for skills, the amount of job postings has increased significantly as well. 

Currently, the U.S. is leading the charge, but there's lots of competition. 

The worry is, not everyone is looking for AI-related skills to improve the world. The ethics of AI is the elephant in the room for many. 

AI Ethics

via 2023 AI Index Report

The number of AI misuse incidents is skyrocketing. Since 2012, the number has increased 26 times. And it's more than just deepfakes, AI can be used for many nefarious purposes that aren't as visible.

Unfortunately, when you invent the car, you also invent the potential for car crashes ... when you 'invent' nuclear energy, you create the potential for nuclear bombs. 

There are other potential negatives as well.  For example, many AI systems (like cryptocurrencies) use vast amounts of energy and produce carbon. So, the ecological impact has to be taken into account as well.

Luckily, many of the best minds of today are focused on how to create bumpers to rein in AI and prevent and discourage bad actors. In 2016, only 1 law was passed focused on Artificial Intelligence ... 37 were passed last year. This is a focus not just in America, but around the globe. 

Conclusion

Artificial Intelligence is inevitable. It's here, it's growing, and it's amazing.

Despite America leading the charge in A.I., we're also among the lowest in positivity about the benefits and drawbacks of these products and services. China, Saudi Arabia, and India rank the highest. 

If we don't continue to lead the charge, other countries will …Which means we need to address the fears and culture around A.I. in America. The benefits outweigh the costs – but we have to account for the costs and attempt to minimize potential risks as well.

Pioneers often get arrows in their backs and blood on their shoes.  But they are also the first to reach the new world.

Luckily, I think momentum is moving in the right direction. Watching my friends start to use AI-powered apps, has been rewarding as someone who has been in the space since the early '90s. 

We are on the right path.

Onwards!

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¹Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, and Raymond Perrault, “The AI Index 2023 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023. The AI Index 2023 Annual Report by Stanford University is licensed under

Predicting The Future With Arthur C Clarke

Last week, I shared a couple of videos that attempted to predict the future. As a result, someone sent me a video of Arthur C Clarke's predictions that I thought was worth sharing.

Arthur C Clarke was a fantastic science fiction writer and a famous futurist. You probably know him as the author of 2001: A Space Odyssey.

Here are his predictions from 1964, nearly 60 years ago.

 

via BBC Archive 

Arthur C. Clarke had a profound impact on the way we imagine the future. Known for his remarkable predictions, Clarke's ideas may have seemed farfetched at times, yet his thoughts on the future and the art of making predictions were grounded in reason.

If a prophet from the 1960s were to describe today's technological advancements in exaggerated terms, their predictions would sound equally ridiculous. The only certainty about the future is that it will be fantastical beyond belief, a sentiment Clarke understood well.

You can be a great futurist even if many of your predictions are off in execution, but correct in direction. For example, Clarke predicted that the advancements in communication would potentially make cities nonexistent. While cities still exist - in much the same way as in the 1960s - people can now work, live, and make a massive difference in their companies from anywhere on the planet, even from a van traveling around the country. Global communication is so easy that it's taken for granted. 

As a science fiction author, some of what he wrote about might seem ridiculous today. For example, super-monkey servants creating trade unions.  Much of what he wrote about was what could happen (and to provide a way for people to think about the consequences of their actions and inactions).  As we discussed last week, humans often recognize big changes on the horizon ... but they rarely correctly anticipate the consequences. 

In summary, even though some of Clarke's predictions were farfetched, they were rooted in a deep understanding of human potential and the transformative power of technology. His ability to envision a fantastical future was not only a testament to his imagination, but also served as an inspiration for generations of scientists, engineers, and dreamers. By embracing the unknown and acknowledging the inherent uncertainty of the future, we can continue to push the boundaries of what is possible and strive for a world that is truly beyond belief.

You won't always be 100% correct, but you'll be much closer than if you reject what's coming. 

Tech Over The Long Run

Humans are wired to think locally and linearly ... because that's what it took to survive in a pre-industrial age. However, that leaves most of us very bad at predicting technology and its impact on our future. 

To put the future of technology in perspective, it's helpful to look at the history of technology to help understand what an amazing era we live in. 

Our World In Data put together a great chart that shows the entire history of humanity in relation to innovation. 

Max Roser via ourworldindata

3.4 million years ago, our ancestors supposedly started using tools. 2.4 million years later they harnessed fire. 43,000 years ago (almost a million years later) we developed the first instrument, a flute. 

That's an insane amount of time. Compare that to this:

In 1903, the Wright Brothers first took flight ... 66 years later, we were on the moon. 

That's less than a blink in the history of humankind, and yet we're still increasing speed. 

Technology is a snowball rolling down a mountain, picking up steam, and now it's an avalanche being driven by AI. 

But innovation isn't only driven by scientists. It's driven by people like you or me having a vision and making it into a reality. 

Even though I'm the CEO of an AI company, I don't build artificial intelligence myself ... but I can envision a bigger future and communicate that to people who can. I also can use tools that help me automate and innovate things that help free me to focus on more important ways to create value. 

The point is that you can't let the perfect get in the way of the good.  AI's impact is inevitable.  You don't have to wait to see where the train's going ... you should be boarding. 

Onwards! 

Can We Predict The Future?!

New technologies fascinate me ... As we approach the Singularity, I guess that is becoming human nature. 

Second Thought has put together a video that looks at various predictions from the early 1900s. It is a fun watch – Check it out. 

via Second Thought

It's interesting to look at what they strategically got right compared to what was tactically different. 

In a 1966 interview, Marshall McLuhan discussed the future of information with ideas that now resonate with AI technologies. He envisioned personalized information, where people request specific knowledge and receive tailored content. This concept has become a reality through AI-powered chatbots like ChatGPT, which can provide customized information based on user inputs.

Although McLuhan was against innovation, he recognized the need to understand emerging trends to maintain control and know when to "turn off the button." 

In 1966, media futurist Marshall McLuhan envisioned a form of digital research eerily similar to the customized queries now answered by AI. Then he makes a surprising admission about why he studies technological change—with a lesson I think many need to hear. pic.twitter.com/yEBJv95GvP

— Benjamin Carlson (@bfcarlson) March 22, 2023

While not all predictions are made equal, we seem to have a better idea of what we want than how to accomplish it. 

The farther the horizon, the more guesswork is involved. Compared to the prior video on predictions from the mid-1900s, this video on the internet from 1995 seems downright prophetic. 

via YouTube

There's a lesson there. It's hard to predict the future, but that doesn't mean you can't skate to where the puck is moving. Even if the path ahead is unsure, it's relatively easy to pick your next step, and then the step in front of that. As long as you are moving in the right direction and keep taking steps without stopping, the result is inevitable. 

Generative AI Explained By AI

VisualCapitalist made an infographic on Generative AI using explanations by generative AI ... a bit of a novelty, but still a helpful infographic. 

via visualcapitalist

Basically, generative AI refers to AI that generates new outputs based on the data they have been trained on. Instead of recognizing patterns and then making predictions, they're used to create images, text, audio, and more. 

Please let me know about any tools you think are especially worthy (or that I might have missed). 

With Google and Microsoft entering the space, I think you're about to see a lot of tool churn as they push redundant tools out of the market. Short-term, that'll cause a bit of chaos. Long-term, it will mean that we'll have a better diversity of tools as innovators are forced to be more creative.

South Park, ChatGPT-4, and More ...

This week, South Park released an episode written entirely by ChatGPT ... about ChatGPT. 

Here's a clip. 

... And it's funny ... Which is a testament to the power of ChatGPT.

Then, even more news started to come out. 

First, Google and Microsoft released announcements about integrating AI into their engines and services (like Google Sheets and Microsoft Office). 

Then, the most important news came out. GPT-4 was released ahead of schedule. 

In December 2022, I shared that GPT-3 was trained on 100x more parameters than any previous language model. Well, here's what GPT-4 looks like compared to GPT-3. 

And it is also much more robust. Which is mildly scary to think about ... but also very exciting. 

I was already very excited about what GPT-3 and the applications built on it were making possible, but this takes it to another level. 

Though, I have to be the voice of caution and remind you - don't rely on it as your business. It is a tool to help you increase the speed or scope of a business opportunity. But it isn't mature enough to blindly rely on it to be right – or even factually accurate. GPT-4 was optimized to sound good, which means that it might hallucinate or mislead you, even when it has the correct answer in its dataset. But it will sound good, even when it isn't right.

That being said, it outperforms GPT-3 in every single way. 

via ZDNet

ChatGPT (powered by GPT-4) is now multi-modal, meaning it will take both picture and video inputs. 

Exciting stuff ... Or at least progress.  Onwards!

My Thoughts On ChatGPT and the AI Revolution

Last week, I shared a post about the rise of ChatGPT. To summarize ... new AI tools (like ChatGPT) are cool, but they can be a distraction if you're not focused on your actual business goals.  Likewise, those tools seem smart, but they are not smart enough to replace you. 

Below is a video containing an edited version of my contributions about using AI in business at a recent Genius Network meeting.

 

via GeniusNetwork.

With something as powerful and game-changing as AI, smart people find a way to take advantage of it (rather than finding ways to avoid or ignore it).

If you keep your head in the dirt, you'll get left behind like Blockbuster, Kodak, or RadioShack. 

With that said, one of the key things I've noticed about new tech is that there's massive churn.  You've seen it with the blockchain and cryptocurrencies.  The companies, products, and modalities that pioneer the industry aren't always the ones who make it.  I think it's because they focus on technology instead of solving their customers' real problems.

Pioneers often end up with arrows in their backs and blood on their shoes.  Too often, this causes them to give up before they achieve real and lasting success.

You don't have to rush, even if it feels like you're falling behind.  To use a surfing metaphor, you shouldn't ignore the coming waves, but you can certainly take the time to wax your board, get in the ocean, and choose which wave you want to ride. 

You can catch the little waves and take advantage of ChatGPT or Midjourney, but as a final reminder, if everyone is doing it, it's not a competitive advantage ... it's the playing field. 

Tech Trends To Watch in 2023

Technology is on the mind of most people I have talked to recently. Even with Big Tech letting go of droves of employees, the innovation happening in the world is impressive. 

VisualCapitalist put out a list of 11 trends to look out for this year. Check it out. 

via visualcapitalist

As always, no list gets it entirely correct. Lists like this are made to spark interest and influence the direction of tech development. However, I've been impressed with what visualcapitalist has gotten right in the past. 

A lot of the trends on the list make sense. India has been a massive investment space in tech over the last few years, and it's about time for more results to show. Healthcare is a massive investment space, and we're seeing a lot of innovation go to the medical space before migrating to other industries ... on top of health monitoring, other specifics like menopausal care could see more investment, especially with an increase in women-led and women-focused companies. 

As well, Fintech has been hit hard since 2020. Many of the bulwarks of the industry have been sliced down as a result of covid-19, market turmoil, the Russia/Ukraine conflict, and more. These years haven't been without learnings. New market conditions require new approaches, but the past 2+ years have been a great opportunity for adaptation and advancement. After winter comes spring. 

What trends do you think are missing, and what trends do you think won't come to fruition?