#FactCheck - Viral Photo of Dilapidated Bridge Misattributed to Kerala, Originally from Bangladesh

The Equitable Growth Approach of AI and Digital Twins

Digital Twins can be simply described as virtual replicas of physical assets or systems, powered by real-time data and advanced simulations. When this technology is combined with AI, the impact it has on enabling real-time monitoring, predictive maintenance, optimised operations, and improved design processes through the creation of virtual replicas of physical assets becomes even greater.  The greatest value of AI is its ability to make data actionable. And when combined with digital twins, these data can be collated, analysed, inefficiencies removed, and better decisions can be taken to improve efficiency and quality. 

This intersection between AI and Digital Twins holds immense potential for addressing key challenges, particularly in countries like India, which is rapidly embracing digital adoption to achieve its economic ambitions and sustainability goals. According to Salesforce’s most recent survey on generative AI use among the general population within the U.S., UK, Australia and India, 75% of generative AI users are looking to automate repetitive tasks and use generative AI for work communications. India is particularly looking towards a rapid digital adoption, economic ambitions, and sustainable developments to be achieved through AI adoption. This blog discuss the intersection of equitable growth, sustainability, and AI-driven policies in India.

Sustainability and the Path Ahead: Digital Twin and AI-Driven Solutions 

India faces sustainability challenges which are mainly associated with issues such as urban congestion, the rising demand for energy along with climate change and environmental degradation. AI and Digital Twins provide solutions for real-time simulations and predictive analysis. Some of the examples are its applications in sustainable urban planning such as smart cities like the Indore Smart City Initiative and traffic optimisation, energy efficiency/optimisation through AI-driven renewable energy projects and power grid optimisation and even water resource management through leak detection, equitable distribution and conservation.

The need is to balance innovation with regulation, particularly, underscoring the importance of ethical and sustainable deployment of AI and digital twins and addressing data privacy with AI ethics with recent developments such as the India’s evolving AI policy landscape, including the National Strategy for Artificial Intelligence and its focus on AI for All, regulatory frameworks such as  DPDP Act and the manner in which they address AI ethics, data privacy, and digital governance.

The need is to initiate targeted policies that promote research and development in AI and digital twin technologies, skill development and partnerships with the private sector, think tanks, nonprofits and others. Also, collaborations at the global level would include aligning our domestic policies with global AI and sustainability initiatives and leveraging the international frameworks for climate tech and smart infrastructure. 

Cyberpeace Outlook

As part of specific actions, policymakers need to engage in proactive governance to ensure the responsible use and development of AI. This includes enacting incentive schemes for sustainable AI projects and strengthening the enforcement of data privacy laws. Industry leaders must support equitable access to AI and digital twin technologies and develop tailored AI tools for resource-constrained settings, particularly in India. Finally, researchers need to drive innovation in alignment with sustainability goals, such as those related to agriculture and groundwater management.

References

• https://economictimes.indiatimes.com/tech/artificial-intelligence/technologies-like-ai-and-digital-twins-can-tackle-challenges-like-equitable-growth-to-sustainability-wef/articleshow/117121897.cms 
• https://www.salesforce.com/news/stories/generative-ai-statistics/
• https://www.mdpi.com/2673-2688/4/3/38 ‍
• https://www.ibm.com/think/topics/generative-ai-for-digital-twin-energy-utilities

Introduction

US President Biden takes a step by signing a key executive order to manage the risks posed by AI. The new presidential order on Artificial intelligence (AI) sets rules on the rapidly growing technology that has big potential but also covers risks. The presidential order was signed on 30th October 2023. It is a strong action that the US president has taken on AI safety and security. This order will require the developers to work on the most powerful AI model to share their safety test results with the government before releasing their product to the public. It also includes developing standards for ethically using AI and for detecting AI-generated content and labelling it as such. Tackling the many dangers of AI as it rapidly advances, the technology poses certain risks by replacing human workers, spreading misinformation and stealing people's data. The white house is also making clear that this is not just America’s problem and that the US needs to work with the world to set standards here and to ensure the responsible use of AI. The white house is also urging Congress to do more and pass comprehensive privacy legislation. The order includes new safety guidelines for AI developers, standards to disclose AI-generated content and requirements for federal agencies that are utilising AI. The white house says that it is the strongest action that any government has taken on AI safety and security. In the most recent events, India has reported the biggest ever data breach, where data of 815 million Indians has been leaked. ICMR is the Indian Council of Medical Research and is the imperial medical research institution of India. 

Key highlights of the presidential order

The presidential order requires developers to share safety test results. It focuses on developing standards, tools & tests to ensure safe AI. It will ensure protection from AI-enabled frauds and protect Americans' privacy, advance equity and civil rights, stand up for consumers and workers, promote innovation and competition, protect against risks of using AI to engineer dangerous material and provide guidelines for detecting AI -AI-generated content and establishing overall standards for AI safety and security.

Online content authentication and labelling 

Biden administration has asked the Department of Commerce to set guidelines to help authenticate content coming from the government, meaning the American people should be able to trust official documents coming from the government. So, focusing on content authentication, they have also talked about labelling AI-generated content, making the differentiation between a real authentic piece of content and something that has been manipulated or generated using AI. 

ICMR Breach

On 31/10/2023, an American intelligence and cybersecurity agency flagged the biggest-ever data breach, putting the data of 81.5 crore Indians at stake and at at potential risk of making its way to the dark market. The cyber agency has informed that a ‘threat actor’, also known as  ‘pwn001’ shared a thread on Breach Forums, which is essentially claimed as the ‘premier Databreach discussion and leaks forum’. The forum confirms a breach of 81.5 crore Indians. As of today,, ICRM has not issued any official statement, but it has informed the government that the prestigious Central Bureau of Investigation (CBI) will be taking on the investigation and apprehending the cybercriminals behind the cyber attack. The bad actor’s alias, 'pwn001,' made a post on X (formerly Twitter); the post informed that Aadhaar and passport information, along with personal data such as names, phone numbers, and addresses. It is claimed that the data was extracted from the COVID-19 test details of citizens registered with ICMR. This poses a serious threat to the Indian Netizen from any form of cybercrime from anywhere in the world. 

Conclusion:

The US presidential order on AI is a move towards making Artificial intelligence safe and secure. This is a major step by the Biden administration, which is going to protect both Americans and the world from the considerable dangers of AI.  The presidential order requires developing standards, tools, and tests to ensure AI safety. The US administration will work with allies and global partners, including India, to develop a strong international framework to govern the development and use of AI. It will ensure the responsible use of AI. With the passing of legislation such as the Digital Personal Data Protection Act, 2023, it is pertinent that the Indian government works towards creating precautionary and preventive measures to protect Indian data. As the evolution of cyber laws is coming along, we need to keep an eye on emerging technologies and update/amend our digital routines and hygienes to stay safe and secure. 

References:

• https://m.dailyhunt.in/news/india/english/lokmattimes+english-epaper-lokmaten/biden+signs+landmark+executive+order+to+manage+ai+risks-newsid-n551950866?sm=Y
• https://www.hindustantimes.com/technology/in-indias-biggest-data-breach-personal-information-of-81-5-crore-people-leaked-101698719306335-amp.html?utm_campaign=fullarticle&utm_medium=referral&utm_source=inshorts

‍

‍

Introduction

The advent of Electronic Vehicles (EVs) represents a transformative leap towards a more sustainable and environmentally conscious transportation future by nations. However, as these vehicles become increasingly connected and reliant on advanced technological systems, a parallel concern emerges—data privacy. Integrating sophisticated technologies in EVs, such as GPS tracking, biometric authentication, and in-car connectivity, raises substantial questions about the collection, storage, and potential misuse of sensitive personal information. This intersection of automotive innovation and data privacy underscores the need for comprehensive solutions and regulatory frameworks to ensure that the benefits of electric vehicles are realised without compromising the privacy and security of their users.

Electronic vehicles primarily record three types of data;

1. Driving behaviour and patterns: The e-vehicle records braking and driving patterns, including acceleration, speed, and swerve. Some vehicles even track air conditioning usage and airbag deployment to determine the point of failure in the event of a crash.
2. Location data: The e-vehicles also track GPS systems to gauge the speed and direction of the vehicle.
3. EV functions and use of telematic services: Monitoring of EV functions includes battery use management, battery charging history, battery deterioration, electrical system functions and software version information.

Data Privacy requirements of companies

Companies manufacturing e-vehicles are saddled with several data privacy requirements as concerns about consumer safety. Data collected by e-vehicles may be sensitive in nature. Location tracking is a key issue that has garnered attention. The constant recording of a driver's whereabouts can lead to the creation of detailed profiles, raising questions about the potential misuse or unauthorised access to this sensitive information. The risk of surveillance, stalking, or even theft of valuable personal data is a genuine concern for EV owners.

Moreover, integrating smart features, such as voice recognition, biometric authentication, and in-car personal assistants, adds another layer of complexity. These features require the collection and processing of personal data. If not handled securely, they may become vulnerable to hacking or unauthorised access, leading to identity theft or other malicious activities. Additionally, Smart charging systems offer convenience by allowing remote monitoring and control of charging, but they also gather extensive data. The geographical data collected during charging may raise concerns about location privacy.

Striking a delicate balance between leveraging this data for enhancing vehicle performance and user experience while safeguarding the privacy of EV owners is paramount. Transparent privacy policies, secure data storage practices, and stringent encryption protocols are essential components of a comprehensive approach to data protection. If a company is eyeing the international market or utilising cloud-based software with decentralised global data storage, it must also navigate international privacy and data protection laws. A prime example is the General Data Protection Regulation (GDPR), a globally recognised and stringent data protection law applicable to both European-based companies and international entities providing goods, services, or monitoring activities of residents within Europe. 

Manufacturers of these vehicles are subjected to compliance with this comprehensive legal framework. Obligations on companies are levied by them being data fiduciaries; dual liability may also emanate since some data fiduciaries may also qualify as data processors. Special care must be taken when data is being transferred to third parties. 

Further, compliance with consumer safety laws is also an important consideration. In India, the Consumer Protection Act of 2019 safeguards the rights of consumers, holding manufacturers, sellers, and service providers responsible for any harm resulting from faulty or defective products. This extends the Act's coverage to include manufacturers and sellers of internet and technology-based products. When read with the Digital Personal Data Protection Act of 2023 (DPDP Act), the Consumer Protection Act of 2019 takes on additional significance. The DPDP Act, focusing on the security of an individual's digital personal data, introduces provisions such as mandatory consent, purpose limitation, data minimisation, obligatory security measures by organisations, data localisation, and enforcing accountability and compliance. These provisions apply to information generated by and for consumers, offering a comprehensive framework for protecting digital personal data.

Conclusion

The intersection of e-vehicles and data privacy necessitates a careful and comprehensive approach to ensure the coexistence of automotive innovation and user security. As electric vehicles record intricate data related to driving behaviour, location, and telematic services, companies manufacturing these vehicles must navigate a complex landscape of data privacy requirements. The potential risks associated with location tracking, smart features, and the extensive data collected during charging underscore the importance of transparent privacy policies, secure data storage practices, and stringent encryption protocols. Moreover, as companies expand globally, compliance with international privacy laws like the GDPR becomes imperative. Balancing the enhancement of vehicle performance and user experience with the safeguarding of privacy is paramount. Manufacturers, deemed as data fiduciaries, must exercise diligence, especially when transferring data to third parties. Additionally, adherence to consumer safety laws, such as the Consumer Protection Act of 2019, further emphasises the need for a holistic and vigilant approach to ensure the responsible use of data in the evolving landscape of e-vehicles.

References

• https://digitalcommons.law.scu.edu/cgi/viewcontent.cgi?article=1556&context=chtlj 
• https://cyberswitching.com/electric-car-charging-and-data-privacy/#:~:text=Smart%20charging%20systems%20provide%20convenience,in%20safeguarding%20EV%20user%20privacy