AI and Data Annotation in Socially Impactful Projects

Apr 25, 2023

There are many ways that AI and data annotation can have positive social impacts. Many AI projects have or will make a positive social impact. For example, AI in medicine is used to diagnose illnesses or come up with new medications or track the spread of viruses like Covid -19. There are also things like translation software. That has improved communications and access to information.

One of the most exciting AI projects that will certainly have a tremendous social impact that changes everything is a widely accepted, street legal self driving car. That has the potential to change the entire process and the need for a driver's license. It will also very likely change auto insurance and increase accessibility to the freedom of owning a personal vehicle. To support that, the auto manufacturers will need to outsource data annotation for autonomous vehicles.

AI and computer vision have the potential to create better accessibility devices for the blind and disabled. This could go well beyond simple text to speech. An AI has the potential to see those who can not help them navigate and recognize objects. After all, data annotations in video and pictures are all about object recognition.

AI has improved weather and flood forecasting where it is implemented. This has the potential to improve disaster and crisis response greatly. It can and will save many lives in areas with severe weather, like monsoons. In addition, improved forecasting can improve the lead time of warnings. That allows people to protect themselves and their assets by giving them more time to be informed and react accordingly.

Chatbots have a very large and good social impact because they have advanced much since the first chatbot ELIZA was written in the 1960s. Now, AI chatbots can provide much more companionship. AI chatbots have been upgraded to provide customer service, psychological help, help to quit smoking, and even legal aid.

All of these are good examples of AI projects that have or could have a good social impact. These projects share some common features even if their goals are different from each other. They all still have elements and features in common. That means that if you want your AI project to have a good social impact, you'll want to make sure to have the same elements.

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Image annotation | Keymakr

Elements of an AI Project with Good Social Impact

  • Recognizes and gives a solution to a problem.
  • Has the possibility to change the world and how we live in it.
  • Has good partners to get a good understanding of the challenges and work to overcome them.
  • Has a large dataset that is relevant and has data annotation for machine learning.
  • Model or algorithm development and data training.
  • Testing to make sure that everything works as intended and find unexpected cases.
  • Successful real-world deployment.
  • Scales up quickly after the successful deployment.
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The Social Benefits of AI and Data Annotation at Scale

AI reduces errors. We have the phrase "human error" because human beings make mistakes. AI does not make mistakes if they are programmed properly and given enough of the right data. If they do ever make mistakes, they can learn from them much faster, or they can be prevented with an update or patch. This is why autonomous vehicles driven by AI can be made safer than human drivers.

AI-controlled robots can take risks for us. They can be sent to explore the deep sea. They can be sent out to other planets, like Mars. They can be used to fight fires or respond to natural disasters. They can go into dangerously radioactive areas like Chornobyl to locate and fight fires. It is far better to send a robot controlled by AI to do something dangerous than risk someone's life.

Machines can work all day and night. AI can pretty much always be available when you need it. Sure sometimes machines need maintenance, but they don't tire or get bored. Humans have human needs like breaks and time off. They have personal lives that have to be balanced with work.

AI and automation are well suited to repetitive tasks and do not lose focus or concentration. They have no problem at all doing the same things exactly over and over again. That also makes AI consistent. The output and the quality will always be the same if that is what is needed. Furthermore, AI can speed up these tasks even if they still take a human. This can free humans to do more interesting tasks.

AI can be made to help with pretty much any job a human can do, especially any job on a computer. AI can even help create new content. AI can provide great digital assistants. This has changed how many people work and increased productivity. That is always a large social impact. AI has changed the nature of entire industries.

AI can make good decisions faster than humans. This is because we think about things emotionally and practically, and it can take too long to brood over the answer we want to give. AI, on the other hand, does not have these problems. For example, an AI that plays a game of chess or goes set to its most significant difficulty can not be beaten by a human being. That's because it makes good decisions quickly according to the data and its algorithms.

AI is in many of our daily applications and widely adopted products already. Amazon's Alexa, Microsoft Windows' Cortana, Samsung's Bixby, Apple's Siri, and many other AI digital assistants. These are tied into many other applications, products and services. So, you can talk to your phone and ask for directions, and it will give them to you, along with a GPS map that shows your current location. That's very different from not so long ago when we had to use paper maps and compasses or ask other human beings for directions.

It is important to remember that all of these advancements in modern AI that are so convenient and easy to take for granted are made possible with data annotation and labeling and enormous datasets. Therefore, it is vital for anyone wanting to make a socially impactful AI to consider partnering with data annotation companies.

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