Have you identified images, asked if you are a robot, or when visiting Facebook, are you asked to confirm the orientation in space of an object, in order to authenticate your user? If you’ve done this, you’ve most likely worked for AI.
It is common for some tasks on the Internet to pass as simple acts of navigation. However, every click, search or comment not only shapes the online experience, it also feeds Artificial Intelligence (AI).
From the captchas you solve to prove that you are human, to friend suggestions on social networks, these online actions will have an impact on the training and development of AI.
Learn about the different ways you’ve worked for AI and didn’t know it, so you know how online interactions shape the future of technology.
Supervised learning in Artificial Intelligence
Supervised learning is a fundamental technique in the field of artificial intelligence (AI) that involves training models using labeled examples.
In this approach, the algorithm is given a set of input data along with associated desired responses, allowing the model to learn to make predictions or decisions based on those labeled examples.
In the context of working for AIs, supervised learning plays an important role in collecting and using data to train AI models.
When we interact online, from searching on a search engine to making online purchases, we generate a large amount of data that can be used to train supervised learning models.
For example, when you perform a search on Google and click on one of the results, we are providing input data (the search query) and the desired answer (the relevant result we selected).
How does this “involuntary” contribution arise with AIs?
This contribution arises as a result of the need to solve online challenges, such as captchas, which were initially implemented to protect websites from automated abuse.
As these security tools became common, companies began to recognize the value of human contribution in solving these challenges.
This has led to the use of systems that leverage user responses to improve artificial intelligence algorithms, especially in areas such as optical character recognition (OCR) and computer vision.
Additionally, these actions, such as tagging photos, completing surveys, or interacting with virtual assistants, provide a wealth of data that is used to train and improve AI algorithms in many applications and services.
How do we work for Artificial Intelligence?
Learn about some of the most common ways in which we contribute to the development and improvement of artificial intelligence, without being aware of it:
Data labeling
When we interact on social networks or websites, we take actions that help label data.
For example, by tagging friends in Facebook photos or using hashtags on Instagram, we are providing valuable information that helps artificial intelligence algorithms better understand and classify content.
Captcha resolution
Captchas are those images or puzzles that are often presented when filling out online forms to verify that we are humans and not bots.
By solving captchas, we are helping to train artificial intelligence algorithms, as many of these captchas are used to improve optical character recognition (OCR) systems and computer vision.
Interactions with virtual assistants
Every time we use a virtual assistant like Siri, Google Assistant or Alexa, we are providing voice data that is used to improve natural language processing algorithms.
Our interactions help these systems better understand requests and provide more accurate responses in the future.
Text correction
When we use spelling or grammar checkers in messaging applications or word processors, we are contributing to the development of artificial intelligence algorithms for automatic text correction.
Our fixes and suggestions help improve the accuracy and relevance of these tools.
Interactions on social networks and e-commerce platforms
Our actions on social media platforms and e-commerce sites deliver a large amount of data that is used to personalize and improve the user experience.
Every like, comment, share or purchase we make online is recorded and used to train recommendation and personalization algorithms.
Why is it important to know that we work for AI?
First, by learning how our online actions contribute to the development and training of AI, we become aware of our impact on the technology we use every day.
Likewise, by recognizing our contribution to AI, we assume ethical responsibility in the use of technology. This leads us to reflect on data privacy and algorithmic bias, promoting greater transparency in the development and use of AI.
Knowing our role in AI training also empowers us as users to make informed decisions about the privacy and security of our online data.
This includes adjusting privacy settings on social networks, being more selective in our online interactions, as well as using available privacy and security tools.
Furthermore, the awareness of working for AI encourages digital education and literacy in society. With AI becoming more prevalent, it is important that people are educated about how this technology works and how it can impact our lives.
Do you want to know more about AI? Visit our Artificial Intelligence page and get the most out of cognitive computing systems.
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