I have heard many times in the past months that AI will not replace your job; rather, the people who use AI will. This offers a great and refreshing perspective on the next stage of our lives. I assume – this is not going to happen in the next two weeks – even though it has already started, but given the speed at which AI tools and systems have been developed over the last few months and the significant amount of money being invested, we might be in for a challenge.

“The global AI market was valued at over €130 billion in 2023 and is expected to grow substantially by 2030, up to nearly €1.9 trillion (Statista, 2023).” – see more here.

The trajectory of this development is clear, and yet—the opinions are as diverse as possible, ranging from enthusiastic early adopters, to people boycotting AI tools claiming that this is just another marketing hoax, to total skeptics denying the need for its development, and activists warning us of the long unforeseeable consequences of its development. It seems we are in the middle of the next tech revolution, whether we like it or not. The more tangible reality is that AI businesses are mushrooming all around the world.

Believe me – I’m all for innovation. But… What has struck me, and what I have been reflecting upon in the last weeks, are rather…

The Hows:

And here is my short chat with ChatGPT about it.

IF: How are these tools even being created?

ChatGPT: AI tools are typically created using vast amounts of data and sophisticated algorithms that learn from this data to make predictions or decisions.

IF: How is our data being used in this creation?

ChatGPT: Data is used to train AI models. This involves feeding the AI system large datasets to help it learn and improve its accuracy over time.

IF: Where are these datasets from?

ChatGPT: The data used to train AI models can come from a variety of sources depending on the specific application and purpose of the AI system. Here are some common sources of data:

1. User-Generated Data: This includes data collected from user interactions with various digital platforms, like social media, online shopping, and search engines. Every click, view, and interaction contributes to this dataset.
2. Public Databases and Open Data: Many AI models are trained using publicly available datasets that are provided by governments, research institutions, or large organizations. These can include datasets on weather, public health, transportation, and more.
3. Enterprise Data: Businesses often use their internal data, such as sales records, customer service interactions, and operational data, to train AI models tailored to optimize their operations or improve customer experiences.
4. IoT Devices: Data from Internet of Things (IoT) devices such as sensors, smart home devices, and wearables contribute significantly to AI training datasets, providing real-time data on a variety of metrics.
5. Simulated Data: In some cases, especially where real data is scarce or difficult to obtain, simulated data generated through models can be used to train AI.
6. Crowdsourced Data: Data collected through crowdsourcing platforms, where users voluntarily provide information or perform tasks that contribute to a dataset.
7. Scraped Web Data: Data can also be scraped from websites, which involves automatically extracting data from the web, often for purposes like training AI to understand human language or to provide market intelligence.

IF: How are we going to make sure that our data is not being abused? (And is this even possible?)

ChatGPT: Ensuring data is not abused involves implementing strict data governance and privacy policies, regular audits, and possibly using technologies like blockchain to enhance transparency and security.

IF: How can we ensure that it is used for the good of humanity? Or are we already too late for it?

ChatGPT: It’s not too late. We can ensure AI is used for the good of humanity by setting ethical guidelines, fostering international cooperation, and promoting the development of AI for socially beneficial purposes.

P.S. I can’t wait to hear people start saying, “We are all in this together.” 😂

#ArtificialIntelligence #AIInnovation #DataPrivacy #TechRevolution #DigitalEthics

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