Fake intelligence! We are not intelligent at all. Real-life QA / DEV examples of testing approaches that pretend to be "intelligent".

What if the human definition of intelligence is wrong? If we don’t know what intelligence is, how we can develop and trust artificial intelligence? During the talk, I will go through specific decisions that might be classified as smart and intelligent, but in the end they are not. Real-world examples of testing and development choices that shouldn’t happen.

As a people, we think that any action is intelligent only if we will do the same action. Example: AI is intelligent because it can answer millions of questions and the answers sound meaningful for us. Example 2: Monkeys are intelligent animals because some of them use tools, like humans do. But birds and fishes are not intelligent because we don’t understand their actions.

The same situation happens when teams (qa and dev) choose tools/technologies/processes. Teams/Companies are mainly making their choices based on trends and what they see in other companies. But some of the tools/processes might not work for them. For example, using Playwright only because Microsoft does might not work for your team.