As artificial intelligence (AI) develops, it has given rise to a wide range of privacy-related worries. Large-scale personal data is frequently used by AI systems to learn and make predictions, which raises questions concerning the gathering, use, and archiving of such data. Here are some forward-looking observations from tech professionals.
Artificial intelligence (AI) technology is becoming more and more common, from self-driving cars and face recognition software to virtual assistants like Alexa and Siri. The use of AI technology does, however, present privacy issues, particularly with regard to personal data, according to Bhaskar Ganguli, Director, Marketing and Sales, Mass Software Solutions.
Large amounts of data are frequently used by AI systems to train their algorithms and boost performance. This information can include sensitive information like social security numbers and medical records, as well as sensitive personal information like names, residences, and financial data. Concerns about how this data is utilized and who has access to it can arise from its collection and processing.
The likelihood of data breaches and unauthorized access to personal information are the key privacy worries associated with AI. Given the volume of data being gathered and processed, there is a chance that it could be misused through hacking or other security flaws.
“As artificial intelligence develops, it involves personal information more frequently, increasing the likelihood of data breaches. It is possible to modify photographs or make up profiles using generative AI. It also depends on data, just like any other AI technologies. 80% of firms worldwide report that cybercrimes have a negative impact on their security, and we are aware that personal data in the wrong hands can have horrifying consequences. By employing data platforms for authentication, we must actively protect the privacy of our clients’ information. Infobip’s MD for India, Bangladesh, Nepal, and Sri Lanka is Harsha Solanki.
“AI undoubtedly has the power to transform our lives, but it also brings up severe privacy problems. According to Vipin Vindal, CEO of Quarks Technosoft, as AI spreads, it has the ability to gather and analyze enormous amounts of personal data that might be utilized for both good and bad purposes.
AI for Monitoring and Surveillance
The employment of AI for monitoring and surveillance purposes is another issue. For instance, law enforcement organizations have employed facial recognition technology to locate people in public places and identify suspects. The right to privacy and the risk for technology abuse are brought up by this.
It is crucial to make sure that the collection, use, and processing of personal data by AI is done in accordance with the GDPR. The acquisition and processing of personal data should be kept to a minimum, and AI algorithms should be created to guarantee that the data is kept secure and private.
“As AI technologies progress, they will be able to gather and analyze large amounts of data on people, including their preferences, habits, and even thoughts and feelings. According to Vindal, this data can be used to forecast people’s behavior, target them with advertisements or other marketing communications, or even decide whether they have access to certain opportunities or services.
AI may be used to monitor people in ways that were previously not conceivable, such as following their movements, keeping an eye on their social media activity, and even analyzing their facial expressions and other biometric data. AI can analyze enormous volumes of data.
The possibility that AI systems can reinforce current biases and discrimination is another worry. An AI system may pick up and maintain preference biases if the training data it utilized contained them. This could have negative effects, especially in fields like employment where hiring choices might be made using AI algorithms.
To solve these issues, responsible development and deployment of AI technologies is required. This involves ensuring that data is gathered and processed safely, openly, and with individual consent. It also entails making sure AI systems are developed, tested, and monitored continuously in order to detect and reduce biases.
“It is crucial to make sure that AI is developed and implemented appropriately in order to allay these worries. This entails making sure that personal data is gathered and handled in an ethical and transparent manner, with specific criteria on its use and sharing. It also entails including measures to stop the abuse of AI technologies, like creating tools for people to manage how their data is gathered and used, Vindal said.
To ensure that AI’s potential benefits are achieved while minimizing the threats to individual privacy and civil rights, it is crucial to support the responsible development and implementation of the technology. The appropriate use of AI technologies requires collaboration between policymakers, business executives, and members of civil society, according to Scott Horn, CMO of EnterpriseDB.