How AI struggles with bike lanes and bias

Mikealreend
3 min readAug 18, 2021
How AI struggles with bike lanes and bias

There is no escaping from the fact that artificial intelligence has transformed our lives. Today, you can find AI-enabled devices around us. From mobile phones to our cars, everything has the intervention of AI in it. It has led to the rise in the demand for artificial intelligence experts. Change is the need of the hour. In the times to come, we will witness a rise in the demand for AI experts, and hence artificial intelligence certification will be of great help. Not only will it give you the right boost and growth, but it also opens up new avenues of growth in the future. We are coming back to the topic of how AI struggles with bike lanes and bias. Well, the fact of the matter is that most companies are now emphasizing implementing AI in their work.

The growth of AI

While most of us kept pondering over the thought that AI will soon take over our job, there remains an important question: is the application of AI seamless, or are there any potential threats or challenges hindering the seamless integration of this technology? Let’s try to focus on some of its key aspects.

Although artificial intelligence is the future and holds great prospects, certain concerns are surrounding the same to become an expert you need to take ai training. We know that AI is based on an algorithm, and the same concept drives all its functions, but the data scientist fears that this algorithm can be biased, and hence the results are not so favorable. So, how does this biasness impact the system? Let’s try and understand the same from the example of Austin. The introduction of robots was done to mitigate the traffic. Using robots for delivery purposes is great, and it offers several benefits like you can save on manpower, training and avoid delays. But at the same time, we cannot undermine the fact that it will also lead to the clogging of bicycle lanes in the city. Although this problem is not such a big threat at the moment, we need to address these issues over time, which will eventually impact us all. Austin’s case is an indicator, and we need to think carefully about adopting AI and robots.

Data scientists also believe that biases in AI algorithms can impact the results. Hence, we need to rework it and also assess the adoption of AI across the different industries.

However, we cannot undermine the importance of artificial intelligence experts here. Undoubtedly, AI is the future, and changes will come as technology progresses. With the artificial intelligence certification program, one can guarantee seamless integration of this technology and learn the right way to improvise the algorithm.

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The Global Tech Council or the GTC offers this expansive artificial intelligence certification program that entails all the details of artificial intelligence, from conceptual knowledge about AI and its practical application. After completing the artificial intelligence certification program, you will find a new set of opportunities unfold. Connect with the Global Tech Council to know more about the AI certification program.

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Mikealreend

Result-oriented Technology expert with 10 years’ experience in education & technology roles.