New Delhi: AI continues to get more advanced features in this, and getting more evolved for the better, the task performance, and concerns about the use of personal data for AI training grow louder, for other tasks. These worries have been intensified following LinkedIn’s announcement that it will begin leveraging vast amounts of users’ information to power its AI models. The professional networking site, which is owned by Microsoft, plans to use the member profiles, posts, resumes, and public activities to train generative AI, reflecting the deepening intersection between personal data and machine learning.
This rollout will first affect the users in the UK, EU, European Economic Area, Switzerland, Canada, and Hong Kong, with LinkedIn citing the legitimate interest as its legal basis for the data processing of the users. LinkedIn action is part of the broader trend where the tech companies utilise the users’ generated content for AI development, highlighting the ongoing tension between innovation and the data protection regulations like the GDPR in Europe. The platform’s assurance to exclude the data from users under 18 years of age, the default opt-in settings have raised alarms among the privacy advocates and the industry specialists.
People who rely on LinkedIn for networking and job hunting may benefit from the AI advancements, such as personalised job recommendations or automated profile updates. Nonetheless, concerns persist regarding data misuse, especially amid the rise of deepfakes and algorithmic biases. LinkedIn has emphasised that he training will focus on improving features like content creation and search, but critics argue that this could inadvertently expose sensitive career information, and it might be suitable for the users for their job recommendations.
