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#NAMA: Does Artificial Intelligence threaten privacy? Do the government's data protection laws have adequate safeguards?

Key takeaways: Government has carte blanche: Both Personal Data Protection Bill, 2019 and the expert committee report on Non Personal Data give the government wide-ranging powers to collect and analyse data, without adequate safeguards GDPR not ‘revolutionary’: GDPR only evolved existing privacy and data protection laws, it did not radically alter how companies collect and use data Inferred data needs to be dealt specifically: There is a need to strenghten specific provisions to safeguard individual libery and community rights when it comes to inferred data Privacy within context of hierarchies: Need to think of privacy within contexts and in terms of hierarchies, when swathes of data are analysed by artificial intelligence and automated tools

#NAMA: Is it possible to regulate Artificial Intelligence?

Key Takeaways Regulate AI applications rather than the tech: Speakers largely agreed that rather than regulating artificial intelligence in general, the use cases of the technology should be regulated. Data needs to be regulated too: In cases where data collected for AI applications could have problematic implications for the data subjects or their communities, then such data collection needs to be governed under specific regulations. Self regulation may not be enough: Self-regulation within the AI industry may not be enough since it may not solve for the massive differential between the people developing the technology and the people affected by it. However, for low-risk applications, self-regulation could be explored.

Announcing Speakers: Data and Artificial Intelligence; Jan 28 #Ad

Announcing Speakers: Data and Artificial Intelligence; Jan 28 #Ad Impact of Data Policies on Artificial Intelligence; January 28, 2021 We are happy to announce speakers for our online discussion on the impact of Data Policies on Artificial Intelligence, being held next week on January 28 (Thursday). We are going to focus on how access to data and applications of algorithmic and machine learning models on it is taking shape, in context of upcoming ecosystem changes and regulations. We want to understand how the utility of data and AI taking place, and what privacy protections encircle the use cases. Registrations are open for this session, you can apply to attend

VinFuture Prize pledges US$ 4.5M annually to reward breakthrough scientific research and technological innovations

VinFuture Prize pledges US$ 4.5M annually to reward breakthrough scientific research and technological innovations
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