Artificial Intelligence is emerging as a leading technology in the present time. The way it is becoming a part of our lives is phenomenal. No matter wherever you are living, Artificial Intelligence is impacting our decision-making power with respect to almost all the factors of our lives such as education, police, justice, recruitment, health, finance & banking, etc.
Being the powerful technology in the present time, Artificial Intelligence still faces challenges when it comes to trust.
A business and its team to have trust in Artificial Intelligence is a crucial factor. Though the number of industries that are adopting AI technology is increasing, there are also some scenarios where people don’t trust this technology.
To trust or not to trust is still a hot topic among experts. Can a doctor continue to believe in AI-based predictions to treat a patient, what if the results are misdiagnosis and lead to patients’ lives at risk?
Can a dealer of a car believe in AI results to determine the creditworthiness of customers?
If you are facing such a dilemma whether to trust AI or not then this post is for you.
We understand that digital transformation is a crucial factor, and therefore, we have come up with key steps that will help you and your team to see the potential of Artificial Intelligence, processes, and benefits.
Factors That Are Vital for Trust Building in AI Technology
Before we directly dive into the steps of trust-building, we need to understand the factors that impact trust-building for Artificial Intelligence.
Image or Perception
In the present time, there are many sci-fi movies that have depicted AI as a threat to humanity. It tells that if AI gets out of control, it could become a serious threat for everyone. Such an image of AI affects the trust of people in this technology.
Representation
Extending our above-discussed point, the representation of Artificial Intelligence also plays a crucial role in trust-building. There are many companies that are working on humanoid–human robots. There are some incidents when we read about a robot dog.
Such representation of AI-based robots enables people to trust and build an emotional connection with AI.
Transparency
Trust gets affected on the basis of how transparently AI-based applications execute their tasks. People should be aware of the know-how of the functionalities. It is imperative as such transparency to help them understand why AI is behaving in a particular manner and why it has taken such a decision.
The decision-making process and black box in ML affects the results of AI applications, and if the results are not accurate, it affects the trust factor.
Reviews from Users
People in the present era are digitally driven. Their every step is based on the reviews & ratings published on the internet. It is a good habit to analyze every factor before making any decision.
Adopting Artificial Intelligence is no exception. Comparing all the positive and negative reviews will lead to better decision making. And hence, we can say that reviews from other users are also an important factor that affects the trust level for AI.
Trainability
Evident to its name, it denotes something which comes with the trial basis facility. When a solution of technology comes with the trial facility, it helps users improve their understanding of the particular technology.
How to Get Your Team Gain Trust in Artificial Intelligence?
Building trust is not a piece of cake. It is a long and continuous process. We are here to help you give key steps that will help you foster trust in AI among your team members.
Start the trust-building process by properly defining your business strategies and by trying to identify the answer of how AI technology will impact your business process and will implementing AI technology help you achieve business goals?
Try to find:
- Does it require embedding AI in existing systems and workflow?
- If there is any need to change workflows?
- Is there a need to create an entirely new workflow?
Invest in Educating Users
The first and most important thing which you can do to build trust among your users for AI is by educating them.
Try to help your end-users understand the benefits of Artificial Intelligence. Also, help your team to understand the multiple usages of Artificial Intelligence.
To Offer Complete Transparency on AI Predictions
Transparency is another vital factor that helps your end-users create trust for AI technology. Always try to give full transparency to your end-users on the mechanism of AI-based predictions.
While doing so, try to make a balance between explaining prediction & overwhelming your end-users by explaining full information on AI and ML factors.
Explain How AI Works
Try to make your team understand how Artificial Intelligence offers context for people by using human logic. Show your business users the magic of AI and how it provides insightful details.
Enhance Engagement & Improvement with Regular Feedback
Making a prediction is the most important factor that makes AI technology trustworthy. The predictions made by AI are based on the market, and the market fluctuates.
Try to keep the end-users engaged throughout the prediction process and they will understand the use cases between predictions and the actual use cases.
