The Solution: Algorithm Impact Assessment
There is no direct technical fix for fair algorithms. With every AI application where algorithms contribute, there is a chance of side effects. Nobody wants to completely ban AI or algorithms. Fortunately, many problems can be prevented by doing a good impact assessment . Before an algorithm is used in practice, a test must be done. The following must be considered:
How well has the algorithm been tested? Is the test data used representative?
Is there sufficient manual control in the process? Are negative decisions always reviewed?
What data is collected and used for this application? Does the value of the application outweigh the privacy invasion and risks?
Who owns the algorithm and who owns the data? Is this a commercial company with commercial interests? Will this company comply with Dutch law?
The assessment should involve AI researchers, but also domain specialists and preferably also representatives of the group of people on whom the algorithm is applied. The results of the assessment should be public, so that journalists, politicians and citizens also have insight into the results. The assessment will probably have to be updated regularly, because AI algorithms are often provided with new data and settings.
The Algorithm Impact Assessment is unfortunately not mandatory, but fortunately there is something similar. Thanks to the new privacy legislation ( AVG or GDPR) it is already mandatory to look at privacy in many projects. A Data Protection Impact Assessment (DPIA) must be done (see here a template for the content of such an assessment ).
Unfortunately, these DPIAs are often not public india telegram data and it is not mandatory to look at the details of the algorithms. Hopefully, the guidelines will be expanded and the rules adjusted so that these impact assessments become public. This is the only way we as a society can keep a grip on artificial intelligence.
online marketers. With the TRUST method, that dream can become reality.
A few months ago, an interesting article from Ahrefs appeared in my timeline: link building according to the so-called TRUST method (more about that later in this article). According to the author, a very effective way to generate high-quality backlinks . I wondered whether such a method also works in our down-to-earth frog country and decided to investigate. In this article, I share the results.
Link Building
Scoring high in Google is all about 3 things: good website technology, super cool on-site content and smacking backlinks in all flavors. The last one is the only factor that you don't have control over yourself and therefore relatively difficult to organize.