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Introduction

Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.

What isQuantum computing?

Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.

‍Interconnected Future  

Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.

1. Enhancing AI Capabilities:

Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.

1. Solving Complex Problems:

The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.

1. Advancements in Finance and Optimisation:

The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.

1. Strengthening Cybersecurity:

Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.

1. Quantum-Inspired AI:

Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.

How Quantum Computing and AI Should be Regulated-

As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.

1. Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
2. Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
3. Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
4. International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
5. Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:

1. Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
2. Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
3. Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
4. Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
5. Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.

Conclusion:

‍Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.

Introduction

‍Human Trafficking has been a significant concern and threat to society for a very long time. The aspects of our physical safety also have been influenced by human traffickers and the modus operandi they have adopted and deployed over the years. We are always cautious of younger children in regard to trafficking whenever we go out to crowded or unknown places. This concern and threat have also migrated to cyberspace and now pose new and different tangents of threats. These crimes are committed using technology and are further substantiated by different cybercrimes.

‍What is Cyber-Enabled Human Trafficking?

‍Cyber-enabled human trafficking is the new evolution of human trafficking in the digital age. Bad actors lure the victims via the internet and use social engineering to exploit their vulnerabilities to get them into their traps. In today's time, crime is often substantiated in lieu of fake job offers and a better lifestyle in new and major metropolitan cities. Now this crime has gone beyond the geographical boundaries of our nation, and often the victims end up in remote locations in the Middle East or South East Asia.

‍Cybercrime Hubs in Myanmar

‍The reports have indicated that a lot of trafficked victims are taken down to various cybercrime hubs in Myanmar. The victims are often lured on the pretext of job offers overseas, which pay handsomely. The victims make their way into the foreign nation but are then cornered by the bad actors and are segregated and taken into different hubs. The victims are often school graduates and seek basic jobs for their earnings. The victims are taken into Cybercrime hubs which Chinese syndicate criminals allegedly run.The victims are kept in tough conditions, beaten up, and held captive in remote jungles. Once the victim has lost hope, the criminals train them to commit cyber frauds like phishing. The victims are given scripts and mobile numbers to commit cybercrimes. The victims are given targets to ensure their survival, and due to the dark and threatening conditions, the victims just give up on the demands just to remain alive. Some of the victims make their way back home as well, but that is after 6-7 years of such constant torture and abuse to commit cybercrimes. The majority of such survivors face trouble seeking legal assistance as the criminals are almost impossible to track, thus making redressal for crimes and rehabilitation for survivors tough.

‍How to stay safe?

‍The criminals in such acts often target the vulnerable sector of the population, these people generally hail from tier 3 towns and rural areas. These victims aspire for a better life and earning opportunities, and due to less education and minimal awareness, they fail to see the traps set by the victims. The population at large can deploy the following measures and safe practices to avoid such horrific threats-

• Avoid Stranger interaction: Avoid interacting with strangers on any online platform or portal. Social media sites are the most used platforms by bad actors to make contact with potential victims.
• Do not Share: Avoid sharing any personal information with anyone online, and avoid filling out third-party surveys/forms seeking personal information.
• Check, Check and Recheck: Always be on alert for threats and always check and cross-check any link or platform you use or access.
• Too good to be true: If something feels like Too good to be true, it probably is and hence avoid falling for attractive job offers and work-from-home opportunities on social media platforms.
• Know your helplines: One should know the helpline numbers to make sure to exercise the reporting duty and also encourage your family members to report in case of any threat or issue.
• Raise Awareness: It is the duty of all netizens to raise awareness in society to arm more people against cybercrimes and fraud.

Conclusion

‍The name of cybercriminals is spreading all across the ecosystems, and now the technology is being deployed by such bad actors to even substantiate physical crimes. We need to be on alert and remain aware of such crimes and the modus Operandi of cyber criminals. Awareness and education are our best weapons to combat the threats and issues of cyber-enabled human trafficking, as the criminals feed on our vulnerabilities, lets eradicate them for once and for all and work towards creating a wholesome safe cyber ecosystem for all.https://www.scmp.com/week-asia/politics/article/3228543/inside-chinese-run-crime-hubs-myanmar-are-conning-world-we-can-kill-you-here

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Introduction

The European Union has fined the meta $ 1.3 billion for infringing the EU privacy laws by transferring the personal data of Facebook users to the United States. The EU fined Meta’s business in Ireland. As per the European Union, transferring Personal data to the US is a breach of the General data protection Regulation or European Union law on data protection and privacy.

GDPR Compliance

The terms of GDPR promise to gather users’ personal information legally and under strict conditions. And those who collect and manage personal data must protect users’ personal data from exploitation. The GDPR restricts an organisation’s capacity to transfer personal data outside the EU if the transfer is solely based on that body’s evaluation of the sufficiency of the personal data’s protection. Transfers should only be made where European authorities have determined that a third country, a territory within that third country, or an international organisation provides acceptable protection for data protection.

Violation by Meta

The punishment, announced by Ireland’s Data Protection Commission, might be one of the most significant in the five years since the European Union passed the landmark General Data Protection Regulation. According to regulators, Facebook failed to comply with a 2020 judgment by the European Union’s top court that Facebook data transferred over the Atlantic was not sufficiently safeguarded from American espionage agencies. However, whether Meta will ever need to encrypt Facebook users’ data in Europe is still being determined. Meta announced it would appeal the ruling, launching a potentially legal procedure.

Simultaneously, European Union and American officials are negotiating a new data-sharing pact that would provide legal protections for Meta and scores of other companies to continue moving information between the US and Europe. This pact could overturn much of the European Union’s Monday ruling.

Article 46(1) GDPR Has been violated by the meta, And as per the Irish privacy.  

What is required by the GDPR before transferring personal information across national boundaries?

Personal data transfers to countries outside the European Economic Area are generally permitted if these nations are regarded to provide a sufficient degree of data protection. According to Article 45 of the GDPR, the European Commission evaluates the degree of personal data protection in third countries.

The European Union judgment demonstrates how government rules are upending the borderless way data has traditionally migrated. Companies are increasingly being pressed to store data within the country where it is acquired rather than allowing it to transfer freely to data centres around the world as a result of data-protection requirements, national security laws, and other regulations.

The US internet giant had previously warned that if forced to stop using SCCs (standard contractual clauses) without a proper alternative data transfer agreement in place, it would be compelled to shut down services such as Facebook and Instagram in Europe.

What will happen next for Facebook in Europe?

The ruling includes a six-month transition period before it must halt data flows, meaning the service will continue to operate in the meantime. (More specifically, Meta has been given a five-month transition period to freeze any future transfer of personal data to the United States and a six-month deadline to terminate the unlawful processing and/or storage of European user data it has previously transferred without a legitimate legal basis. Meta has also stated that it will appeal and appears to seek a stay of execution while it pursues its legal arguments in court.

Conclusion

The GDPR places restrictions on transferring personal data outside the European Union to third-party nations or international bodies to ensure that the GDPR’s level of protection for individuals is not jeopardised. But the meta violated the European Union’s privacy laws by the user’s personal information to the US. Under the compliance of GDPR, transferring and sending personal information to users intentionally is an offence. and presently, the personal data of Facebook users has been breached by the Meta, as they shared the information with the US.