As we advance in technology, big data, artificial intelligence and tech platforms that make them operational are gaining much influence and power. Algorithms determine all the things we do including the jobs we get, the credit cards we receive, the information we see when we go online, and the colleges we attend among other things. With this trend, a lot of things are bound to go wrong. These are issues that need to be addressed to the legislatures in a way that is unbiased so that they can regulate the tech companies and hold them accountable for the influence they have over the lives of all. Looking at the not so good part of technology is crucial. We only come to learn about the negative impact of technology once we have been negatively affected. We, for instance, came to know about the fake news when it was used to influence the 2016 American election, threatening the country’s democracy.
The fake news always lacks the issues discussed on a day to day activity and is readily believed by many as gospel truth. It is vital that we stop depending on journalists to do the work of uncovering the problems brought about by algorithms. What we need as of now is the academia to help us understand the role technology is taking up in shaping our lives. Research should be carried out on algorithms that that filters people with mental health disorder as well as the sentencing algorithms that fails twice often for black defendants as for white defendants. The research should be conducted to ensure that this sort of mistakes does not occur in the future.
Most professional technologist in private company may not critic their firm, therefore, placing the academics in a position to make an adequate inquiry. With the various conflicts that emerge among academic disciplines, it becomes difficult to critic technology and more so the algorithms that control our lives. The only solution to tech influence in our lives is instituting an academic discipline that looks at the accountability of algorithms. The institute should provide sufficient engineers at both undergraduate and graduate level. The institution should be able to offer workshops and conferences aimed at intersecting artificial intelligence as well as algorithms. Another step that the system should take is coming up with a committee that is set to reimagine the ethical standards of individual experimentation in a way that can readily be adopted by the tech industry.