Data Privacy and Security in AI: Building Trust with Chennai Customers

Data Privacy and Security in AI: Building Trust with Chennai Customers

Authors: V.Monish kumar and S. Vishal Vishwakarma
Date: January-March 2024
Page Numbers: 133-142
 
Issue: 19
Volume: 11
Abstract : Artificial intelligence is a challenge for the protection of people and associations due to the complexity of the calculations used in artificial intelligence frameworks. Individual information such as names, addresses and subtle elements of contact can be inadvertently collected in the middle of intelligence. Information security mostly means the ability of a person to decide for himself when, how and to what extent information about him is shared or transmitted to others. This individual information can be a title, region, contact information or behaviour online or in real life. At a basic level, artificial intelligence (AI) security measures are changed to distinguish between "safe" and "malicious" behaviour by comparing the client's behaviour in the environment with that of a reference environment. Artificial intelligence calculations can be prepared to monitor systems for suspicious movements, perceive unusual action plans and identify unauthorized devices in the organization. Artificial intelligence can advance security management by finding inconsistencies. This involves analysing placement activity to identify non-standard patterns. Building AI Trust with Chennai Customers like AI can use this customer data to provide personalized support in the following ways: Promotional assistance to customers based on past behaviour or requests. Keep customers up to date and educated based on purchase history and administrative actions for virtually unused, important items.

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