The dystopia created by science fiction in its literature causes people to fear for “the power of the machine in the future,”
It say experts at the artificial intelligence summit .
Dystopian storylines in science fiction books and movies in which humanity has to face artificial intelligence ( AI ) or robots to survive have made humans more reluctant to interact with science today, according to was highlighted at the AI Summit in New York.
“We distrust machines, in part, that’s because of science fiction and the way it often envisions a dystopian future. That has created a mindset, as we’ve advanced technologically, that machine power is too dangerous. says Matthew Quint, director of the Center for Global Brand Leadership and the Columbia University School of Business.
Quint, who participated in this technological summit in the Big Apple, indicates that the main reason why humans do not trust AI is because of the “fear of (machines) taking control”, in addition to the fact that the lack of “empathy” and “emotions” from the machines creates a disconnect.
“However, the reality is that Artificial Intelligence created to provide information effectively can allow a much more informed decision to be made in some way than when listening to the information provided by another human being,” says the specialist, and says that the Transparency will be one of the keys for users to become familiar with these tools.
Speaking on the panel: “What is the impact of ethical AI on the customer experience?” Quint noted that some appointment-scheduling virtual assistants initially posed as the client to get those appointments.
Shortly after the launch, the ethics of the mechanism began to be questioned, since those who answered the phones did not know that they were talking to a machine and not a human.
To avoid this ethical conflict, now the system in its conversations with humans says that it is a virtual assistant calling on behalf of a client.
The ethics of AI
According to Pamela Gupta, IEEE Standards Association’s AI Cybersecurity Officer, there are several keys to making AI ethical : transparency, integrity, privacy, and security (TIPS).
She also noted that it is essential that AI programming and the data collected for these programs be ethical from the outset, and have to take into account all races and genders.
Gupta exemplified the importance of this diversity of data with the case of a US bank – he did not identify which one – that denied their mortgages to “50% of a particular ethnic group” using its AI analytics, which is a misuse of data . technology data.
“The tools they were using looked at (customers’) race to make these decisions,” he explained. EFE