Robots With Personalities: How the Public Can Begin to Trust AI

Robots With Personalities: How the Public Can Begin to Trust AI

AI Professionals

Artificial Intelligence is everywhere we look, however, building public trust in AI is taking longer.

Therefore, most AI start-up companies have a ‘chicken-and-the-egg’ problem in their hands.

Companies need people to be interested in their products, but they also need them to trust their products. A company’s extensive history is usually the way of gaining such trust. But for these start-ups, this is not on the table because the use of AI technology in professional industries is a relatively new concept.

So, the question is: “How can start-ups begin to build trust between people and AI?”

1) Robots with Personalities

Hui Chia conducted a study on the idea of artificial intelligence ‘personalities’ and how understanding it can lead to better trust between people and deep-learning agents[1].

Deep-learning is a machine-learning method that uses algorithms to reflect how the human brain works. These agents can learn large sets of data and perform tasks based on it. The more data it learns and the more tasks it completes, the better it becomes at its job. Like humans, it learns through past experiences. Through this, artificial intelligence can become more involved in sophisticated work – work that requires human ‘thought’.

Of course, suspicion always follows anything with this much ‘game-changing’ potential.

As of right now, the regulators cannot review the ‘thought-process’ of these agents. In other words, there is no way for us to know exactly how it come to its conclusions nor how it makes decisions.

But if we understood the ‘personalities’ of these agents then we could at least predict how they would act. For example, ‘safer’ personalities would take the long-term approach when giving financial advice. Meanwhile, ‘riskier’ personalities would pursue immediate and larger financial gains. If we can predict the actions of deep-learning agents then regulators can be reassured that these agents will act in a predictable way. This in turn,  can lead to better trust between the two parties.

Robots With Personalities: How the Public Can Begin to Trust AI

2) Examples of Deep-Learning Products using AI 

Forbes also had an article that lists AI products that use deep-learning methods. Their list included facial recognition features as well as personalized shopping [2]. Trust in AI might follow if we can make people aware that they already use it in their daily lives.

Here at AI Professionals, Artifical Intelligence is at the heart of our business. We trust AI and use it in order to automate the contract review process and increase the contract review speed for lawyers. This allows them to review legal contracts in 30 seconds or less, allowing lawyers to spend time on more meaningful tasks.   Click here for more information about what we do.


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