The challenges of Artificial Intelligence
“By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”
― Eliezer Yudkowsky
From SIRI to self-driving cars, artificial intelligence is progressing rapidly.
A.I. makes it possible for machines to learn from human experience, adjust to new inputs and perform human-like tasks.
Everyone agrees that it’s a technology that can change the world, and from space exploration and even creating art, its potential is becoming increasingly apparent.
It still faces significant challenges though — challenges that will have to be overcome before that potential can be achieved.
Let’s see some of these challenges:
1.Building Trust
Since many successful AI techniques rely on huge amounts of data, it’s important to know how data are handled by AI systems and by those who produce them.
2.AI Human Interface
AI helps us to build human interfaces based on speaking and writing, instead of using a keyboard or mouse; but the biggest challenges are finding ways to tell systems what answers are unsatisfactory to help them learn, be transparent in what data is recorded and retained, and ensure that diversity and inclusion are part of our training data to prevent bias in AI systems.
3.Software Malfunction
Businesses need to take care when using AI software that certain applications do not seem too accurate or human.
4.AI Can’t Replace Every Task
These four key challenges which AI will have to overcome in the future are certainly not insurmountable. But solutions will have to be implemented before Artificial Intelligence will live up to its undoubtedly huge potential.
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