Solutions in the Artificial Intelligence (AI) domain rely on vast amounts of data about individuals, entities, and communities. Currently, this data collection is done without the proper consent of the users. Therefore, protecting user privacy in an era dominated by AI becomes important as data collection is done in a non-transparent manner.
There are two main aspects of data collection and use. First, companies are using it inappropriately as they get information about consumers. Second, companies are accumulating large data sets in an attempt to obtain, and consequently build, an unfair competitive advantage. The 17 parliamentary elections are an example of these two issues. In the recently concluded elections, some political parties used data to understand voter behavior by mining data on social media. The major parties have also accumulated vast amounts of data on users and are using it to gain a competitive advantage while violating the privacy of citizens. These companies have computer tools to analyze the data obtained. This information helps companies create a first-mover advantage when it comes to driving business value.
S Gopalakrishnan, Joint Secretary, Ministry of Electronics and Information Technology (MeitY), explained the great need for a regulator and a legal safety net to protect user data. “We need a consent, law and regulatory mechanism. AI needs data, which includes personal information. On the basis of personal data, a profile of an individual can be created, and that can lead to the loss of the user. We need a regulator and regulations to protect personal data. A privacy bill will lead to a perfect evolution of these technologies. In the absence of a data protection bill and regulator, there may be a violation and users can and will be harmed. Ideally, a good data protection law will adapt to new emerging technologies, ”he said.
Businesses should raise awareness among users to safeguard their privacy and rights online
Dr. Lovneesh Chanana, Vice President (Digital Government), Asia Pacific and Japan, SAP, agrees with the challenge posed by emerging technologies. “The potential of emerging technologies requires a responsible use of both technical and social domains. User awareness is the key to safeguarding privacy rights. “
A legally binding data protection framework is the need of the hour. Data protection legislation, as proposed Srikrishna Justice Committee It is timely, and the new government must implement it soon.
There are seven core principles such as informed consent, technology agnosticism, data controller responsibility, data minimization, holistic enforcement, dissuasive penalties, and structured enforcement that must be followed for data protection. Legislation should also look at international best practices, such as the European Union’s General Data Protection Regulation (GDPR) guidelines, while framing the law.
Anurag Saxena, Global Head of Strategic Initiatives, Microsave, has a caveat about privacy laws. He says: “We can’t put every emerging technology platform into a cube when it comes to privacy. Artificial intelligence, IoT and Blockchain are three different packages. If we go by design, blockchain is all about decentralized ledger and decentralization is something. it protects privacy. When it comes to AI and IoT, it’s more about the user experience. It all depends on how you design the solution. It is possible to protect privacy because it is designed in a way that we don’t want to use the data of the person or to identify the person “.
From the above, it is clear that technology can prevent or interfere with privacy. Therefore, there is a strong need for a regulator. Some countries have gone ahead and have also established sectoral regulators. Japan and Germany have developed new frameworks applicable to specific AI problems, such as regulation of next-generation robots and self-driving cars respectively. There is a real need for education for businesses and app users, while addressing privacy issues in the age of AI. Additionally, AI developers must adhere to international standards and ethics. The IEEE Global Initiative on Autonomous and Intelligent Systems Ethics has a chapter on ‘Personal Data and Individual Access Control in Ethically Aligned Design’. Indian companies and developers must incorporate these standards into the AI design itself.
To promote AI, MeitY plans to establish a ‘National Center for Artificial Intelligence’. The ministry has established four AI committees including: • Al Data and Platforms Committee • Al Leveraging Committee to identify national missions in key sectors • Committee on mapping technology capabilities, key policy enablers required in all sectors . Training and Re-training, R&D. • Cyber Security, Security, Legal and Ethical Affairs Committee.
The report of these committees has been reviewed and based on the recommendations, MeitY is establishing a “National Center for Artificial Intelligence”.
However, the immediate task of the new government that will be formed will be to prepare the Data protection bill. The report and the bill were placed in the public domain and comments were solicited, comments received. Now, steps are underway to carry out data protection legislation.
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