Parliamentary questions and criticism
Posted: Sat Dec 21, 2024 4:24 am
Acceleration
Since about 2005, the field has been developing rapidly. The rise of new powerful GPUs made the algorithms perform better. This led to a larger rollout and therefore to the availability of more data. This led to even better results, et cetera, et cetera. The result is that AI is now being used much more in real life. Think of Google Translate, image recognition, or smart security algorithms. There seem to be real breakthroughs in practical use.
Many large companies are therefore now doing research into AI in order not to miss the boat. New products such as cars are therefore already equipped with smart sensors, to collect data for AI applications. Energy companies have installed smart meters, websites have trackers and thanks to the smartphone, location data can now also be easily recorded. Developing new AI is becoming easier with these new data sources and it is therefore expected that developments will go much faster in the coming years than in the past years.
The applications are also really maturing. For example, look at this 2017 study on artificial video . Based on existing speeches by Barack Obama, or any other famous person, you can create videos india telegram data that are indistinguishable from the real thing. With the help of AI, you can therefore produce fake videos. It is no longer visible that AI has been used. The risk of abuse and manipulation is therefore certainly present.
Also read: Gartner predicts: these are the 5 tech trends for the coming years
However, other new applications also lead to undesirable situations. Fortunately, there are critical politicians. In April 2018, Member of Parliament Rens Raemakers asked parliamentary questions about the algorithms used to detect welfare fraud. These types of fraud algorithms are often kept secret in order not to help fraudsters. However, it is important that the results and decisions of these types of algorithms are verifiable. Transparency is necessary and it is good that the House of Representatives does its job and asks questions.
The ECP has also made a good contribution, by means of a white paper: Artificial Intelligence: Discussion topics and tools for a balanced embedding in society (pdf). This is a good, non-technical introduction to the social issues. For example, ECP mentions funneling, the power position of companies, ethics and transparency as important challenges.
Since about 2005, the field has been developing rapidly. The rise of new powerful GPUs made the algorithms perform better. This led to a larger rollout and therefore to the availability of more data. This led to even better results, et cetera, et cetera. The result is that AI is now being used much more in real life. Think of Google Translate, image recognition, or smart security algorithms. There seem to be real breakthroughs in practical use.
Many large companies are therefore now doing research into AI in order not to miss the boat. New products such as cars are therefore already equipped with smart sensors, to collect data for AI applications. Energy companies have installed smart meters, websites have trackers and thanks to the smartphone, location data can now also be easily recorded. Developing new AI is becoming easier with these new data sources and it is therefore expected that developments will go much faster in the coming years than in the past years.
The applications are also really maturing. For example, look at this 2017 study on artificial video . Based on existing speeches by Barack Obama, or any other famous person, you can create videos india telegram data that are indistinguishable from the real thing. With the help of AI, you can therefore produce fake videos. It is no longer visible that AI has been used. The risk of abuse and manipulation is therefore certainly present.
Also read: Gartner predicts: these are the 5 tech trends for the coming years
However, other new applications also lead to undesirable situations. Fortunately, there are critical politicians. In April 2018, Member of Parliament Rens Raemakers asked parliamentary questions about the algorithms used to detect welfare fraud. These types of fraud algorithms are often kept secret in order not to help fraudsters. However, it is important that the results and decisions of these types of algorithms are verifiable. Transparency is necessary and it is good that the House of Representatives does its job and asks questions.
The ECP has also made a good contribution, by means of a white paper: Artificial Intelligence: Discussion topics and tools for a balanced embedding in society (pdf). This is a good, non-technical introduction to the social issues. For example, ECP mentions funneling, the power position of companies, ethics and transparency as important challenges.