#FactCheck-AI-Manipulated Video Falsely Claims PM Modi Promised Free Gold for Women

Executive Summary
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A picture allegedly showing Sunrisers Hyderabad (SRH) owner Kavya Maran emotionally hugging young cricketer Vaibhav Suryavanshi has gone viral on social media. The image is being shared as a genuine photograph from a cricket-related event, with users claiming that Kavya Maran was seen embracing Vaibhav Suryavanshi. However, CyberPeace Research Wing research found the claim to be false. No credible news reports, official statements, or authentic photographs support the incident depicted in the viral image.

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Claim

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A Facebook user shared the viral image with the caption: “Kavya Maran Hug Vaibhav Suryavanshi 🥰🔥 #cricketnews #RRvsSRH” The link to the post and its screenshot are provided below.

• https://www.facebook.com/photo/?fbid=122187674414757496&set=a.122104828004757496

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Fact Check

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During the research, we found no credible news reports, official statements, or authentic images confirming that Kavya Maran hugged Vaibhav Suryavanshi as shown in the viral picture. To further verify the image, it was analysed using AI detection tools, including Sightengine and Hive Moderation. Both tools indicated a high probability that the image was generated using Artificial Intelligence. The findings suggest that the viral photograph is not a genuine image captured at a real event but a digitally created visual.

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Conclusion

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Our research found that the viral image showing Kavya Maran emotionally hugging Vaibhav Suryavanshi is not authentic. The picture was generated using AI and does not depict a real incident.

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Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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Introduction

The G7 nations, a group of the most powerful economies, have recently turned their attention to the critical issue of cybercrimes and (AI) Artificial Intelligence. G7 summit has provided an essential platform for discussing the threats and crimes occurring from AI and lack of cybersecurity. These nations have united to share their expertise, resources, diplomatic efforts and strategies to fight against cybercrimes. In this blog, we shall investigate the recent development and initiatives undertaken by G7 nations, exploring their joint efforts to combat cybercrime and navigate the evolving landscape of artificial intelligence. We shall also explore the new and emerging trends in cybersecurity, providing insights into ongoing challenges and innovative approaches adopted by the G7 nations and the wider international community.

G7 Nations and AI

Each of these nations have launched cooperative efforts and measures to combat cybercrime successfully. They intend to increase their collective capacities in detecting, preventing, and responding to cyber assaults by exchanging intelligence, best practices, and experience. G7 nations are attempting to develop a strong cybersecurity architecture capable of countering increasingly complex cyber-attacks through information-sharing platforms, collaborative training programs, and joint exercises.

The G7 Summit provided an important forum for in-depth debates on the role of artificial intelligence (AI) in cybersecurity. Recognising AI’s transformational potential, the G7 nations have participated in extensive discussions to investigate its advantages and address the related concerns, guaranteeing responsible research and use. The nation also recognises the ethical, legal, and security considerations of deploying AI cybersecurity.

Worldwide Rise of Ransomware

High-profile ransomware attacks have drawn global attention, emphasising the need to combat this expanding threat. These attacks have harmed organisations of all sizes and industries, leading to data breaches, operational outages, and, in some circumstances, the loss of sensitive information. The implications of such assaults go beyond financial loss, frequently resulting in reputational harm, legal penalties, and service delays that affect consumers, clients, and the public. The increase in high-profile ransomware incidents has garnered attention worldwide, Cybercriminals have adopted a multi-faceted approach to ransomware attacks, combining techniques such as phishing, exploit kits, and supply chain Using spear-phishing, exploit kits, and supply chain hacks to obtain unauthorised access to networks and spread the ransomware. This degree of expertise and flexibility presents a substantial challenge to organisations attempting to protect against such attacks.

Focusing On AI and Upcoming Threats

During the G7 summit, one of the key topics for discussion on the role of AI (Artificial Intelligence) in shaping the future, Leaders and policymakers discuss the benefits and dangers of AI adoption in cybersecurity. Recognising AI’s revolutionary capacity, they investigate its potential to improve defence capabilities, predict future threats, and secure vital infrastructure. Furthermore, the G7 countries emphasise the necessity of international collaboration in reaping the advantages of AI while reducing the hazards. They recognise that cyber dangers transcend national borders and must be combated together. Collaboration in areas such as exchanging threat intelligence, developing shared standards, and promoting best practices is emphasised to boost global cybersecurity defences. The G7 conference hopes to set a global agenda that encourages responsible AI research and deployment by emphasising the role of AI in cybersecurity. The summit’s sessions present a path for maximising AI’s promise while tackling the problems and dangers connected with its implementation.

As the G7 countries traverse the complicated convergence of AI and cybersecurity, their emphasis on collaboration, responsible practices, and innovation lays the groundwork for international collaboration in confronting growing cyber threats. The G7 countries aspire to establish robust and secure digital environments that defend essential infrastructure, protect individuals’ privacy, and encourage trust in the digital sphere by collaboratively leveraging the potential of AI.

Promoting Responsible Al development and usage

The G7 conference will focus on developing frameworks that encourage ethical AI development. This includes fostering openness, accountability, and justice in AI systems. The emphasis is on eliminating biases in data and algorithms and ensuring that AI technologies are inclusive and do not perpetuate or magnify existing societal imbalances.

Furthermore, the G7 nations recognise the necessity of privacy protection in the context of AI. Because AI systems frequently rely on massive volumes of personal data, summit speakers emphasise the importance of stringent data privacy legislation and protections. Discussions centre around finding the correct balance between using data for AI innovation, respecting individuals’ privacy rights, and protecting data security. In addition to responsible development, the G7 meeting emphasises the importance of responsible AI use. Leaders emphasise the importance of transparent and responsible AI governance frameworks, which may include regulatory measures and standards to ensure AI technology’s ethical and legal application. The goal is to defend individuals’ rights, limit the potential exploitation of AI, and retain public trust in AI-driven solutions.

The G7 nations support collaboration among governments, businesses, academia, and civil society to foster responsible AI development and use. They stress the significance of sharing best practices, exchanging information, and developing international standards to promote ethical AI concepts and responsible practices across boundaries. The G7 nations hope to build the global AI environment in a way that prioritises human values, protects individual rights, and develops trust in AI technology by fostering responsible AI development and usage. They work together to guarantee that AI is a force for a good while reducing risks and resolving social issues related to its implementation.

Challenges on the way

During the summit, the nations, while the G7 countries are committed to combating cybercrime and developing responsible AI development, they confront several hurdles in their efforts. Some of them are:

A Rapidly Changing Cyber Threat Environment: Cybercriminals’ strategies and methods are always developing, as is the nature of cyber threats. The G7 countries must keep up with new threats and ensure their cybersecurity safeguards remain effective and adaptable.

Cross-Border Coordination: Cybercrime knows no borders, and successful cybersecurity necessitates international collaboration. On the other hand, coordinating activities among nations with various legal structures, regulatory environments, and agendas can be difficult. Harmonising rules, exchanging information, and developing confidence across states are crucial for effective collaboration.

Talent Shortage and Skills Gap: The field of cybersecurity and AI knowledge necessitates highly qualified personnel. However, skilled individuals in these fields need more supply. The G7 nations must attract and nurture people, provide training programs, and support research and innovation to narrow the skills gap.

Keeping Up with Technological Advancements: Technology changes at a rapid rate, and cyber-attacks become more complex. The G7 nations must ensure that their laws, legislation, and cybersecurity plans stay relevant and adaptive to keep up with future technologies such as AI, quantum computing, and IoT, which may both empower and challenge cybersecurity efforts.

Conclusion

To combat cyber threats effectively, support responsible AI development, and establish a robust cybersecurity ecosystem, the G7 nations must constantly analyse and adjust their strategy. By aggressively tackling these concerns, the G7 nations can improve their collective cybersecurity capabilities and defend their citizens’ and global stakeholders’ digital infrastructure and interests.