BUILDING AI RESPONSIBLY

Artificial intelligence is omnipresent with billions of people interacting with it on a weekly, if not daily basis. It offers content suggestions on your streaming OTT platform or help in avoiding streets that may be clogged with traffic. It helps companies determine how likely a person will repay mortgage or, in the current scenario of supply chain disruption, predict the optimal routes for distributors to dispatch consignments speedily and efficiently. The predictive capabilities brought about by these algorithms allow companies to grow over time. With its presence in diverse industries such as finance to retail to healthcare, it is expected to cross an annual turnover of USD 900 billion by 2026. We all know that at the end of the day, it is a flawed technology as per Salesforce companies. The AI algorithm lead to business & societal issues if not addressed in time reveal Salesforce companies. 

AI is activated on the volume of information gathered over time. If that information collated shows bias or is disconnected from the audience it is meant for, it can heighten the biases. Even the way AI is applied can increase the inequalities that are present in society accept Salesforce companies. 

Here are some ways to battle biases in AI as per Salesforce companies: 

• AI related laws and regulations. Several countries such as India and China are laying ground rules pertaining to AI. This is gaining momentum as governments are deploying AI in governance and decision making. Unfortunately, that’s one way to get the stakeholders to behave in a responsible manner. For more on the same, contact Salesforce companies 

• Transparency. To improve reliability, many laws need companies to be transparent on how they trained their AI model (a program based on a set of information to identify specific types of patterns), the factors used in the model, its intentional and unintentional uses, and existing biases. This is provided to the concerned department / authority as data sheets or model cards, which play the role of “dietary labels” for AI models. 

• AI should be interpretable say Salesforce companies.  Its very important for stakeholders to know the reasons behind AI making suggestions etc. These explanations should be received & comprehended by those who get the data who in turn use it for acting on the received suggestions. Lots of real-life testing needs to happen with the users of AI to make sure they comprehend the explanations.  

• Stay away from proxy variables reveal Salesforce companies. In statistics, a proxy or proxy variable is a variable that is not in itself directly relevant, but that serves in place of an unobservable or immeasurable variable. This is as per definition in Wikipedia. Any model should stay clear of proxy variables, which are tallied with the sensitive variables. 

The road of creating and implementing AI responsibly that comply with local laws & regulations has begun.  It hinges on companies curating ethical AI practices. AI is a game changer for your business, Contact Salesforce companies like Codleo to see how best to use them for enhanced ROI.