There are predictions that by 2029, computers will have the power and capacity to outsmart humans. This means that the computers will be able to learn from experiences and comprehend several languages. Just like computers, robots also are likely to evolve faster than humans, thus outsmarting us.
The good thing about artificial intelligence is that it is always bringing together a combination of modern technologies to make life better. These technologies include driverless transportation and targeted treatments within the healthcare sector. However, this innovation is also impacting the way we live today and how we will live in the future. For instance, AI technologies are taking up most of our jobs and increasing data privacy concerns.
Opportunity for Cyber Attacks: Cyber security is one among the IT vectors that AI technologies seem to be targeting. However, there are concerns that hackers are using an equivalent approaches that AI developers are using to style cyber security mechanisms to develop malicious bots. Hackers find it easy to interrupt AI systems because the used codes have flaws and are usually a mixture of several programming methodologies.
AI technologies can also create room for computer users to reveal their passwords to unsuspecting users. They may allow the hacker to send downloadable malware files to a person that seeks to steal login credentials. This technique also can allow hackers to realize access to autonomous devices.
The “Black-box” Problem: AI applications believe machine-learning algorithms or neural networks to mimic the functioning of the human brain. The problem is that it’s impossible to elucidate how these algorithms manage to supply accurate results. This “black-box problem” is one among the dark sides of AI and machine learning. It is sad that folks don’t get access to the knowledge regarding the automated decision-making that AI applications subject them to.
Lack of Transparency: There are concerns regarding the decision of AI system designers refusing to reveal to us the type of input data they feed into the AI systems. For instance, the engineers of the Google program don’t reveal how the program usually ranks search results. They may be considering such processes as company trade secrets. What they are doing is contrary to our expectations of AI applications being transparent.
Lack of transparency in AI applications is beginning to raise speculations regarding how these technologies can really positively change our lives. As much as program designers are arguing that their AI designs are proprietary, it’s time for them to form their processes more transparent. Their failure to stay to the present simple policy may force most of the people to lose their trust in future AI technologies.
Values and Morale: People from different walks of life are raising ethical questions regarding the future of AI. There are data laws in other jurisdictions that protect the rights of people based on how AI technologies affect them. In some countries, when companies and individuals fail to stick to those strict policies, they’ll be susceptible to prosecution or penalties.
Increased Data Privacy Concerns: One problem with the new wave of AI applications is that they demand too much data from people. It is good to note that through AI, machine-learning technologies simplify the process of analyzing large data sets by looking for specified patterns. However, when the method of extracting the info invades the privacy of individuals , then it’s time that these technologies stop being invasive. The data extraction process should only happen when people consent thereto .
It is unfortunate that the info collectors usually ask people to sign contracts with many pages before taking their data. Since most of the people receive most of those agreement policies online, it’s going to take time for them to read and understand the whole document. Most of them end up clicking ‘accept’ before carefully reading what the agreement document entails thus agreeing to share their personal information.
AI technologies may be manipulative if proper oversight is not in place. It is up to market participants, lawyers and policymakers to work together when coming up with an effective regulatory statute that can guide AI-related decision-making processes. Since these technologies directly interact with us, we should also join these stakeholders in regulating AI decision-making. We should be on the verge of setting up an AI watchdog to ensure that the usage of AI programs is fair. Before the programs collect data from us, we’ve the proper to consent to them or deny them the permission.
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