AI truly has the potential to change the world for the better.
It’s being used to tackle some of the biggest global challenges, such as monitoring and reducing the impact of climate change, and tracking pandemics and developing vaccines.
For AI to come anywhere close to filling its potential though, some challenges that it itself poses must be overcome.
Bias, transparency, security, accountability, and privacy are all big issues, and ultimately, they can be summed up by the principle of trust.
It’s interesting to consider that these are all essentially human problems. From a purely technological point of view, we’re already there.
These are problems that arise because the architects of AI solutions have to account for human fallibility, dishonesty, and of course good old stupidity in everything they build!
How Do We See These Challenges
Let’s go through each of those challenges individually and examine why they inevitably fall under the heading of “trust issues”
Starting with accountability, in order for AI to be trusted, people need to know that a human is accountable for its actions at some stage of the process.
Well, most people don’t. AI seems to be a strange idea to most people and so they are unwilling to jump into the train just yet.
Accuracy is another point of concern in the minds of many people. Yes, computers are quite accurate in executing tasks.
But can they interact with humans properly? The answer is no. We still need humans to handle real word personal issues that involves humans.
Security has not also been smooth either. Although AIs are difficult to hack, humans actually design AIs.
So, if the designers had bad intentions, that will be a problem.
Generally, people will have their reservations for now until a major event proves that the technology is actually trustworthy.