Introduction
Why AI will never replace humans? When most people think about AI, they picture a sci-fi dystopian future, with man versus machine. Terminator, Skynet, Black Mirror, Blade Runner, Westworld.
But as someone who is working on the most ambitious AI projects in the world, every day, I can tell you that is far from reality.
To me, it’s the contrary of that. AI enhances and even supercharges humanity.
Let me explain why.
There are many reasons why AI will never replace humans. AI always has, and always will, rely on humans. That’s one of the reasons that I was actually inspired to start an AI company. That and my background have had a huge impact on me and why I started Scale.
Programming
Programming is the art of giving clear robotic instructions to computers to accomplish simple objectives. It’s all black and white, and there’s no gray area.
As I learned about AI, it was clearly transformational. It changed the game. It equipped computers with intelligence, and I knew I wanted to be deeply involved.
AI at MIT
Coding was like a black-and-white film versus watching in technicolor. What’s more, AI has the potential to take away the repetition in our lives, meaning that new and fresh ideas will matter more and ultimately enable us to be more human.
But, to power AI, you need powerful data, which was especially hard to come by at that time, in 2016, Nobody was building anything with AI outside of school.
It’s unusual for MIT students to not be building something. Mechanical engineering majors are building catapults in the lawn, electrical engineering majors are building robots. And computer science majors are building apps for their friends to use. But nobody was building anything using AI.
Core setup of AI
If you think about the core setup of AI, the algorithms need data, and data needs humans. To ensure data is accurate, an expert human is often required.
Only humans can understand the context and nuance to properly annotate the data to be fed to algorithms. Humans are the one who teach the algorithms what to do. They’re the ones making the decisions, they guide them.
If something happens, here’s what you should do. And AI learns from that and replicates it. We are teaching the AI our individual values and nudging the AI to find thoughtful outcomes.
Machines make mistakes. We have to teach them and incentivize them to tell the truth. This is why teaching the AI human intentions and values is so important. It’s through this process that we will ensure that AI will have fair, ethical outcomes in line with human values.
It’s this alignment that we must solve for. The constant alignment of AI to human intentions will always require humans. and human ideas and creativity can actually matter much more, with the power of AI behind them.
Why AI will never replace humans
The long tale of real-world problems, and the fact that there’s always unknown unknowns means that humans will never be fully removed from the AI development lifecycle.
For example,
In 2016 when chatbots were first starting to become a big thing. There’re so many different conversations that can have so many different pathways. It’s hard to build AI systems that can properly handle all these possibilities.
For chatbots to work, there’re humans behind it who make the decisions once, and from there, the chatbots can replicate that over and over again. That’s again why it’s impossible for AI to improve or change without human input.
Let’s take you to the front lines of AI.
The things that AI automates first are not what you might expect. An unintuitive example is the weather. Humans have tried for many millennia to crack the code of how to predict the weather.
It’s especially hard for meteorologists because there are so many different small things that can cause massive impacts on the weather. It’s the butterfly effect.
Different elements react to one another in unexpected ways. There’re so many inputs that affect the weather, way more data than any person would be able to comprehend on their own.
That’s why we need AI to analyze the vast oceans of data and provide more accurate, nuanced, and comprehensive analysis.
At the moment, AI can already provide extremely accurate short-term predictions, including for critical storms and floods. So, it’s not what humans perceive to be the simplest task that AI will automate first, but rather where we have the most data.
The use cases the brightest minds are focusing on are much more positive than what you might think. Much more so than Terminator or Westworld.
That’s again why I think AI will be a supercharger for humanity. Unlike the movies, AI developers aren’t focusing their attention on building replacements for humans. They’re building tools to help free up our time and energy to focus on what human can uniquely solve.
AI in healthcare
A good example about how AI can be used in practice is health care. According to the Association of American Medical Colleges, the United States could see an estimated shortage of between 38,000 and 124,000 physicians by 2034.
AI could save doctors’ time with rogue tasks and ultimately enable them to serve more patients and help more people. Health care is full of repetitive tasks which are right for AI.
When a patient is sick, they go through all kinds of tests which produce all sorts of data:
- Blood tests
- Imagery
- Lab results
- X-rays etc
Doctors then analyze all this data to make decisions about a case.
AI can analyze all this data proactively and go through a list of possibilities by cross-referencing against all prior data in cases. It can identify when something isn’t right long before a physician can and flag it to a physician, if it requires more attention.
With AI, doctors are still integral to the process, but it takes less time to get a diagnosis. You have to wait several weeks for your case to go from one doctor to another. The AI will supercharge, finding a diagnosis faster.
Similarly, in the field of drug discovery, it’s all about using complex data:
- Experiment data,
- Patient data,
- Protein simulations
- And far more to guide a more efficient process of solving diseas through new drugs and compounds.
Recent advancements in AI have dramatically sped up the scientific process by allowing us to process and make us of more data than ever before.
Another good example, and potentially more concrete, is the Russia-Ukraine war. We’ve all seen the images of tanks lining up ready to enter Kiev. AI can help assess satellite imagery with superhuman speed and precision, so Ukrainian forces can respond faster.
At Scale, we’re using our platform to do damage assessment in key areas affected by the war. We’ve rapidly analyzed over 2,000 square kilometers of Ukraine, identifying over 370,000 structures, including thousands not previously available via other datasets.
We focused on Kiev, Kharkiv and Dnipro, in which we provided some data directly to government and users. We also made the data publicly available to the broader AI community via Scale.
And We can also use this data to maximize allocations of resources, people or commodities. It’s clear satellite data can be extremely useful in these types of situations.
Thanks to satellite data, AI can analyze if planes or tanks have been moved from one place to another. This is called change detection.
Algorithms can constantly be monitoring for this kind of data, and if it notices a change or movement, it will alert a human to further investigate, otherwise known as predictive modeling.
AI can also help us understand the economic impacts of war. We can use AI to track farmland in Ukraine and measure the agricultural damage in real time.
Ukraine is a major food supplier for much of the world. Understanding these impacts is absolutely critical.
Conclusion
Why AI will never replace humans? In conclusion, AI is not something to be feared, but it’s a tool that can be used to better understand… that needs to be better understood, and has the potential to transform our lives for the better.
AI enables us to make use and sense of massive amounts of data that has historically been beyond human capacity.
It allows us to add intelligence and nuance to automated systems that will dramatically improve humanity. Areas like health care and agriculture.
This then allows humans to do what they do best. Take this information, put it into context with sensitivity, to strategize and act in a timely manner.
Outro
AI is a supercharger for humanity. When AI is better than humans, it makes humans better. AI will automate repetitive tasks that don’t require constant human judgment or creativity.
Which frees us up to explore and focus on fresher, newer ideas. AI will enable us to be even more creative and more idea-driven, which I personally find incredibly exciting.
It allows us to embrace the generative aspects of human nature, so we can run faster with ideas and build better and more powerful solutions to the world’s biggest problems.
That’s why I believe that human-led AI is the path forward, and I’m proud to usher all of us into a future with human-led AI.
Why AI will never replace humans? That’s all for today, For more: https://learnaiguide.com/google-just-introduced-20-major-ai-updates/