Will AI and Web3 Need Humans to Solve Globally Complex and New Problems in the Future?

onpassive The Role of Artificial Intelligence in Web3

The tech world has had many concerns and fears lately about its future. These concerns are due to the rise of AI. One problem is what the Worldcoin came to address. It aims to tell the difference between AI and humans through the proof of humanness generation.

However, at Automation Switch, we strongly believe humans can produce and do much more with the right combination of AI and Blockchain/Web3.

Today, there is an ongoing conversation in every space about the fear of what AI might do to humans. Some think AI has come to take over. Others think it will make more humans jobless. For instance, some people believe that AI will make Hollywood actors irrelevant through holograms.

While we do not want these things to happen, we are optimistic about AI and its benefits. We know that humans are bad at thousands of things. We want this technology to help them with those things. We know AI can work with humans to fix complex problems.

Also, did you know the Web3 ecosystem solves problems we could not have fixed alone? It has been doing this since Satoshi mined the first Bitcoin block.

Web3 has helped us create a coordinated, large, complex, and decentralized group of people. This technology has also enabled us to gather these people around a common goal.

In this article, we want to show you some areas that will greatly improve by combining human efforts, AI, and Web3. When combined well, these two tech aspects can help humans and solve our society’s most complex problems.

The Problem-Solving Strengths of AI, Web3, and Humans

The Role of Artificial Intelligence in Web3

Judging by the nature of the tech world today, here are some things AI can achieve.

  • Outcome evaluations using defined parameters.
  • Researching and conducting tasks based on explicit instructions from professionals.
  • Finding and consolidating data, no matter the size required.

Judging by a 100% feasibility study of our tech world today, Web3 can do some things.

  • Globally pool funds across different jurisdictions.
  • Build frameworks for governance.
  • Help to scale participants’ networks globally around the same protocol.

Here are some things humans can do in our tech world.

  • Use organic experiences to build complete and deep expertise.
  • Educate our communities about the subject we care about.
  • Make well-guided, warm-hearted, and cool-headed management decisions.

Imagine what would happen if we combined these strengths. We would solve complex community problems—we are referring to complex global issues—that have defied human intelligence alone for decades—for example, dangerous matters like how to cure cancer.

Solving complex problems will need combining AI, humans, and Web3. This combination will produce the following outcomes:

  • Organizing the wishes and actions of many people around the world.
  • Deciding about strategies and resource allocation methods.
  • Huge management frameworks across various markets and countries of the world.

How Can All These Work

Let’s see how we can combine these strengths. The combined strength lets us solve complex problems, like the imaginary case study below.

How Humans Can Work with AI To Solve Complex Problems

Imagine many scientific labs, disease communities, and academic organizations collaborating to build a company called Curing Cancer DAO (Decentralized Autonomous Organization). Let’s say the company began with a thousand humans at first.

They then choose their vision, share it, and assign decision-making to a small group, which includes experts in various industries.

They start an NFT membership DAO for everyone in the organization occupying various governance roles. Then, they divide a funding pool to kick off the process. Then, they manage the project’s scaling using an AI agent.

After starting an AI agent, the board gives it some KPIs (Key Performance Index). These KPIs allow it to completely manage some community tasks, such as managing treasury donations, tracking new members, and using a set of functions to pay people working for the Curing Cancer DAO.

This activity saves time and resources for DAOs and non-profits. In addition, the board will assign AI agents to management roles.

The Role of Artificial Intelligence in Web3

The board will also assign the AI agent a critical task. It will assess what the DAO needs to progress on the cancer cure. This task also includes writing a proposal. It will contain the work plan, with sub-projects at different stages. It will list the global groups or people who might want to join. It will also list the various steps needed to cure cancer.

Once the board assigns the agent with the task, the AI will craft a proposal. The proposal will contain the long-term plans for the DAO and how to do them. Finally, the AI will submit this proposal to the board for review.

The board will then review the proposal and its content. It will focus on tasks based on the strategy for the organization’s first three months of work and adjust some tasks on the roadmap for practical work.

Also, the board will empower the agent to recruit others for tasks at different times. The agent will assign the tasks, which could be simple or complex. The agent will also recruit people, assess their work, and pay them using funds from the treasury.

Furthermore, the AI will keep creating and updating the roadmap. It will include the progress report for the first three months, so the stakeholders can see it. The AI will manage the whole project. It will make it easy for stakeholders to contribute to updates from anywhere. They can do this in real time, no matter where they are.

As the project progresses, the AI agent can propose adding sub-communities. It can interact with management boards across various areas of expertise. It will coordinate the growing membership and run management experiments. These extra proposals will be in a bid to expand the project.

The board will review the proposal again. It will review the updates and progress. They may veto or change it to make the work more efficient as the project progresses. After some time, if the board finds the AI is ineffective in an area, it can train the AI in that area. The board does this training by commissioning new data. The agent will then use the data to improve their model. It will help them tune the agent to meet their needs well.

The board can use on-chain community experts. These experts will assess and review the agent’s work and improvements.

Adding Web3 to the Combination

The Role of Artificial Intelligence in Web3

If people want to achieve the shared vision in our case study, they must use AI and Web3. Web3 covers the aspects of the project’s governance, finance, and coordination tooling. Every AI agent activity happens on-chain. Web3 will handle group membership. It will manage donations using blockchain tools. It will also manage transactions with the DAO treasury.

The AI will handle every part of the process needed to make Curing Cancer DAO work. But it needs to work with professional humans in their industries. The blockchain will provide oversight and transparency of the processes. Suppose the progress of operations is on the blockchain. In that case, community stakeholders can manage trust and risks better. They can do this better than our traditional social systems because of the combined efforts of AI and Web3.

AI May Not Be a Threat in The Future as People Think

The Role of Artificial Intelligence in Web3

Look at this article’s case study and think. You can see that AI and Web3 will create an optimistic future for all. But humans must learn to work with them. We can see them as tools that complement our work rather than rivals that compete with us.

We can combine the strengths of AI and Web3 with ours to solve many old problems in our communities. Also, many complex things in our society will grow faster and better. Using this case study’s framework, we can solve complex coordination or research issues.

Finally, you can use these technologies in isolation, including working without them. However, you can only achieve up to 10% of what humans, AI, and Web3 could accomplish together.

Hence, we do not see AI coming to take our jobs and displace humans. Instead, we see AI as the companion that will help you do what you are bad at, coordinate things, and do your job faster. This view is accurate, and if we focus on the bright side and see the high productivity AI will bring, we will see amazing experiments soon.

We know the complicated problems disturbing our world today can get the best solutions. However, the solution can only happen when we join the strength of humans and emerging techs. We can do this to pursue a shared mission or goal.

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