Assessing Risks Associated With AI Adoption In Business Operations
In terms of AI Implementation, businesses are still at the nascent stage and are facing lots of challenges related to trust. A recent Salesforce Report predicts that businesses could observe a trust gap with the customers on AI implementation soon.
The intent of implementing AI is to enable high-quality and authorized systems that are reflective of one’s beliefs and values and thus minimize unintended harms and gain the trust of our valued customers.
In the blog, we will discuss the probable risks associated with AI adoption in business.
How Trust Gap Develops In Businesses
Trusting AI blindly could be a matter of concern for businesses as well as customers. The increase in efficiency, generating revenue, automation, and whatnot can be achieved with AI. Many of our top business leaders anticipated that AI would bring the revolutionizing era to the human race.
When there is so much positive in AI, why some concerns are still revolving around it? Let’s get into the depth of AI and analyze what could be the major issues of concern:
AI Is Self-learning
AI models are becoming smart and are learning with their experience, somewhat similar to human brain learning. It seems nice that our machines are becoming smart but the point of concern is that the data used for our model is how much authentic. Our data is embedded with the shortcoming like bias, discrimination, and injustice. Because of the data our AI model may get biased in making any decision and may impact our customer’s trust.
The Probabilistic Approach Of AI
Our AI models predict the data with the probabilistic approach, and the decision is based on the amount of data loaded. It is important to understand if the result given by the AI model deviates from the actual result even minorly in the case of a medical scenario or any financial prospect, the customer will instantly lose the trust.
AI Ownership
Within an organization, we need to define the ownership of the AI. The discrepancy around the lack of clarity of AI ownership, be it developers, compliance, risk management service, or any other organization needs to be defined. This way businesses develop trust for data security, privacy, and ethical usage.
Companies Embrace Generative AI
The broader usage of generative AI should be narrowed down to sentiments and motivation which vary with age, geographical location, gender, and many other factors. Thus enhancing customer loyalty.
Wrap-up
As discussed some of the factors that can lead to a trust gap between AI and customers. And is an area of concern for our business owners before implementing AI. Reducing the trust gap between the business owner and the customer is the key priority for successfully implementing AI in our businesses.
Dreamforce 23 is just a few days away, and Salesforce announced it as the biggest AI event of the year. So can we look up to Salesforce who surely could be the next AI giant in the industry to come up with the responsible AI? Let’s just wait and watch, what holds in the AI event.
In the meantime are you willing to implement Salesforce AI innovations in your org? For any AI query connect with our Salesforce AI experts at HIC Global Solutions.
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