#Fact Check – Analysis of Viral Claims Regarding India's UNSC Permanent Membership

Introduction

The Digital Personal Data Protection (DPDP) Act, of 2023, introduces a framework for the protection of personal data in India. Data fiduciaries are the entity that essentially determines the purpose and means of processing of personal data. The small-scale industries also fall within the ambit of the term. Startups/Small companies and Micro, Small, and Medium Enterprises (MSMEs) while determining the purpose of processing of personal data in the capacity of ‘data fiduciary’ are also required to comply with the DPDP Act provisions. The obligations set for the data fiduciary will apply to them unilaterally, though compliance with this Act and can be challenging due to resource constraints and limited expertise in data protection. 

DPDP Act, 2023 Section 17(3) gives power to the Central Government to exempt Startups from being obligated to comply with the Act, taking into account the volume and nature of personal data processed. It is the nation's first standalone law on data protection and privacy, which sets forth strict rules on how data fiduciaries can collect and process personal data, focusing on consent-based mechanisms and personal data protection. Small-scale industries are given more time to comply with the DPDP Act. The detailed provisions to be notified in further rulemaking called ‘DPDP rules’.

Obligations on Data Fiduciary under the DPDP Act, 2023

The DPDP Act focuses on processing digital personal data in a manner that recognizes both the right of individuals to protect their personal data and the need to process such personal data for lawful purposes and for matters connected therewith or incidental thereto. Hence, small-scale industries also need to comply with provisions aimed at protecting digital personal data.

The key requirements to be considered:

• Data Processing Principles: Ensuring that data processing is done lawfully, fairly, and transparently. Further, the collection and processing of personal data is only for specific, clear, and legitimate purposes and only the data necessary for the stated purpose. Ensuring that the data is accurate and up to date is also necessary. An important part is that the data is not retained longer than necessary and appropriate security measures are taken to protect the said data.
• Consent Management: Clear and informed consent should be obtained from individuals before collecting their personal data. Further, individuals have the option to withdraw their consent easily.
• Rights of Data Principals: Data principals (individuals) whose data is being collected have the right to Information, the right to correction and erasure of data, the right to grievance redressa, Right to nominate.the right to access, correct, and delete their personal data. Data fiduciaries need to be mindful of mechanisms to handle requests from data principals regarding their concerns.
• Data Breach Notifications: Data fiduciaries are required to notify the data protection board and the affected individuals in case a data breach has occurred.
• Appropriate technical and organisational measures: A Data Fiduciary shall implement appropriate technical and organisational measures to ensure effective observance of the provisions of this Act and the rules made thereunder.Cross-border Data Transfers: Compliance with regulations in relation to the transfer of personal data outside of India should be ensured.

Challenges for Small Scale Industries for the DPDP Act Compliance 

While small-scale industries have high aims for their organisational growth and now in the digital age they also need to place reliance on online security measures and handling of personal data, with the DPDP act in the picture it becomes an obligation to consider and comply with. As small-scale industries including MSMEs, they might face certain challenges in fulfilling these obligations but digital data protection measures will also boost the competitive market and customer growth in their business. Bringing reforms in methods aimed at better data governance in today's digital era is significant. 

One of the major challenges for small-scale industries could be ensuring a skilled workforce that understands and educates internal stakeholders about the DPDP Act compliances. This could undoubtedly become an additional burden.

Further, the limited resources can make the implementation of data protection, which is oftentimes complex for a layperson in the case of a small-scale industry, difficult to implement. Limitations in resources are often financial or human resources.

Cybersecurity, cyber awareness, and protection from cyber threats need some form of expertise, which is lacking in small enterprises. The outsourcing of such expertise is a decision that is sometimes taken too late, and some form of harm can take place between the periods by which an incident can occur.

Investment in the core business or enterprise many times doesn't include technology other than the basic requirements to run the business, nor towards ensuring that the data is secure and all compliances are met. However, in the fast-moving digital world, all industries need to be mindful of their efforts to protect personal data and proper data governance.

Recommendations 

To ensure the proper and effective personal data handling practices as per the provisions of the act, the small companies/startups need to work backend and frontend and ensure that they take adequate measures to comply with the act. While such industries have been given more time to ensure compliance, there are some suggestions for them to be compliant with the new law.

Small companies can ensure compliance with the DPDP Act by implementing robust data protection policies, investing in and providing employee training on data privacy, using age-verification mechanisms, and adopting privacy-by-design principles. Conduct a gap analysis to identify areas where current practices fall short of DPDP Act requirements. Regular audits, secure data storage solutions, and transparent communication with users about data practices are also essential. Use cost-effective tools and technologies for data protection and management.

Conclusion

Small-scale industries must take proactive steps to align with the DPDP Act, 2023 provisions. By understanding the requirements, leveraging external expertise, and adopting best practices, small-scale industries can ensure compliance and protect personal data effectively. In the long run, complying with the new law would lead to greater trust and better business for the enterprises, resulting in a larger revenue share for them.

References

• https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1959161 
• https://www.financialexpress.com/business/digital-transformation-dpdp-act-managing-data-protection-compliance-in-businesses-3305293/ 
• https://economictimes.indiatimes.com/tech/technology/big-tech-coalition-seeks-12-18-month-extension-to-comply-with-indias-dpdp-act/articleshow/104726843.cms?from=mdr 

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Data has become a critical asset for the advancement of a nation’s economic, social, and technological development. India’s emergence as a global digital economy hub makes it necessary to create a robust framework that addresses the challenges and opportunities of digital transformation. The Indian government introduced the Draft National Data Governance Framework Policy in 2022, aiming to create a comprehensive data handling and governance framework. This policy draft addresses key challenges in data management, privacy, and digital economy growth.  As per the recent media reports, the Draft National Data Governance Policy so prepared is under the finalisation stage, the government specified in its implementation document for the Budget 2023-24 announcement. The policy also aims to address the country's AI adoption and the issue of lack of datasets by providing widespread access to anonymized data.

Background and Need for the Policy

India has a robust digital economy with its adoption of the Digital India Initiative, Aadhaar digital identification, UPI for seamless payments and many more. In India, 751.5 million people connect to the internet, and is home to 462.0 million social media users in January 2024, equivalent to 32.2% of its total population (Data Reportal 2024). This has brought challenges including data privacy concerns, cybersecurity threats, digital exclusion, and a need for better regulation frameworks. To overcome them, the Draft National Data Governance Policy has been designed to provide institutional frameworks for data rules, standards, guidelines, and protocols for the sharing of non-personal data sets in a manner that ensures privacy, security, and trust so that they remain secure, transparent, and accountable.

Objectives omphasizesf the Framework 

The objective of the Framework Policy is to accelerate Digital Governance in India. The framework will standardize data management and security standards across the Government. It will promote transparency, accountability, and ownership in Non-Personal data and dataset access and build a platform to receive and process data requests. It will also set quality standards and promote the expansion of the datasets program and overall non-personal ecosystem. Further, it aims to build India’s digital government goals and capacity, knowledge, and competency in Government departments and entities. All this would be done while ensuring greater citizen awareness, participation, and engagement. 

Key Provisions of the Draft Policy 

The Draft Framework Policy aims to establish a cohesive digital governance ecosystem in India that balances the need for data utilization with protecting citizens' privacy rights. It sets up an institutional framework of the "India Data Management Office (IDMO) set up under the Digital India Corporation (DIC) which will be responsible for developing rules, standards, and guidelines under this Policy. 

The key provisions of the framework policy include: 

• Promoting interoperability among government digital platforms, ensuring data privacy through data anonymization and security, and enhancing citizen access to government services through digital means. 
• The policy e the creation of unified digital IDs, a standardisation in digital processes, and data-sharing guidelines across ministries to improve efficiency. 
• It also focuses on building digital infrastructure, such as cloud services and data centres in order to support e-governance initiatives. 
• Furthermore, it encourages public-private partnerships and sets guidelines for accountability and transparency in digital governance.

Implications and Concerns of the Framework 

• The policy potentially impacts data sharing in India as it mentions data anonymization. The scale of data that would need to be anonymised in India is at a very large scale and it could become a potential challenge to engage in. 
• Data localization and cross-border transfers have raised concerns among global tech companies and trade partners. They argue that such requirements could increase operational costs and hinder cross-border data flows. Striking a balance between protecting national interests and facilitating business operations remains a critical challenge.
• Another challenge associated with the policy is over-data centralization under the IDMO and the potential risks of government overreach in data access.

Key Takeaways and Recommendations

The GDPR in the European Union and the Digital Personal Data Protection Act passed in 2023 in India and many others are the data privacy laws in force in different countries. The policy needs to be aligned with the DPDP Act, 2023 and be updated as per the recent developments. It further needs to maintain transparency over the sharing of data and a user’s control. The policy needs engagement with industry experts, privacy advocates, and civil society to ensure a balance of innovation with privacy and security.

Conclusion

The Draft National Data Governance Framework Policy of 2022 represents a significant stage in shaping India's digital future. It ensures the evolution of data governance evolves alongside technological advancements. The framework policy seeks to foster a robust digital ecosystem that benefits citizens, businesses, and the government alike by focusing on the essentials of data privacy, transparency, and security. However, achieving this vision requires addressing concerns like data centralisation, cross-border data flows, and maintaining alignment with global privacy standards. Continued engagement with stakeholders and necessary updates to the draft policy will be crucial to its success in balancing innovation with user rights and data integrity. The final version of the policy is expected to be released soon.

References

• https://meity.gov.in/writereaddata/files/National-Data-Governance-Framework-Policy.pdf
• https://datareportal.com/?utm_source=DataReportal&utm_medium=Country_Article_Hyperlink&utm_campaign=Digital_2024&utm_term=India&utm_content=Home_Page_Link
• https://www.imf.org/en/Publications/fandd/issues/2023/03/data-by-people-for-people-tiwari-packer-matthan
• https://inc42.com/buzz/draft-national-data-governance-policy-under-finalisation-centre/  
• https://legal.economictimes.indiatimes.com/news/industry/government-unveiled-national-data-governance-policy-in-budget-2023/97680515

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Introduction

Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration.  India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres. 

AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.

AI Technologies Bridging Language Gaps

AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.  

AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:

• Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide. 
• Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations. 
• AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.

Challenges and Limitations of AI Translation

While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:

• AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions. 
• These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations. 
• Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others. 
• Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising. 
• Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.

AI’s Future  in Language Translation

AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity. 

AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries. 

Conclusion

We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.

Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.

References

• https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
• https://pubmed.ncbi.nlm.nih.gov/38099504/ 
• https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
• https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education

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