#FactCheck - Digitally Altered Video of Olympic Medalist, Arshad Nadeem’s Independence Day Message

Executive Summary:

A viral image circulating on social media claims it to be a natural optical illusion from Epirus, Greece. However, upon fact-checking, it was found that the image is an AI-generated artwork created by Iranian artist Hamidreza Edalatnia using the Stable Diffusion AI tool. CyberPeace Research Team found it through reverse image search and analysis with an AI content detection tool named HIVE Detection, which indicated a 100% likelihood of AI generation. The claim of the image being a natural phenomenon from Epirus, Greece, is false, as no evidence of such optical illusions in the region was found.

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Claims:

The viral image circulating on social media depicts a natural optical illusion from Epirus, Greece. Users share on X (formerly known as Twitter), YouTube Video, and Facebook. It’s spreading very fast across Social Media.

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Fact Check:

Upon receiving the Posts, the CyberPeace Research Team first checked for any Synthetic Media detection, and the Hive AI Detection tool found it to be 100% AI generated, which is proof that the Image is AI Generated. Then, we checked for the source of the image and did a reverse image search for it. We landed on similar Posts from where an Instagram account is linked, and the account of similar visuals was made by the creator named hamidreza.edalatnia. The account we landed posted a photo of similar types of visuals.

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We searched for the viral image in his account, and it was confirmed that the viral image was created by this person.

The Photo was posted on 10th December, 2023 and he mentioned using AI Stable Diffusion the image was generated . Hence, the Claim made in the Viral image of the optical illusion from Epirus, Greece is Misleading.

Conclusion:

The image claiming to show a natural optical illusion in Epirus, Greece, is not genuine, and it's False. It is an artificial artwork created by Hamidreza Edalatnia, an artist from Iran, using the artificial intelligence tool Stable Diffusion. Hence the claim is false. 

Introduction

The integration of Artificial Intelligence into our daily workflows has compelled global policymakers to develop legislative frameworks to govern its impact efficiently. The question that we arrive at here is: While AI is undoubtedly transforming global economies, who governs the transformation? The EU AI Act was the first of its kind legislation to govern Artificial Intelligence, making the EU a pioneer in the emerging technology regulation space. This blog analyses the EU's Draft AI Rules and Code of Practice, exploring their implications for ethics, innovation, and governance.

Background: The Need for AI Regulation

AI adoption has been happening at a rapid pace and is projected to contribute  $15.7 trillion to the global economy by 2030. The AI market size is expected to grow by at least 120% year-over-year. Both of these statistics have been stated in arguments citing concrete examples of AI risks (e.g., bias in recruitment tools, misinformation spread through deepfakes). Unlike the U.S., which relies on sector-specific regulations, the EU proposes a unified framework to address AI's challenges comprehensively, especially with the vacuum that exists in the governance of emerging technologies such as AI. It should be noted that the GDPR or the General Data Protection Regulation has been a success with its global influence on data privacy laws and has started a domino effect for the creation of privacy regulations all over the world. This precedent emphasises the EU's proactive approach towards regulations which are population-centric. 

Overview of the Draft EU AI Rules

This Draft General Purpose AI Code of Practice details the AI rules for the AI Act rules and the providers of general-purpose AI models with systemic risks. The European AI Office facilitated the drawing up of the code, and was chaired by independent experts and involved nearly 1000 stakeholders and EU member state representatives and observers both European and international observers.

14th November 2024 marks the publishing of the first draft of the EU’s General-Purpose AI Code of Practice, established by the EU AI Act. As per Article 56 of the EU AI Act, the code outlines the rules that operationalise the requirements, set out for General-Purpose AI (GPAI) model under Article 53 and GPAI models with systemic risks under Article 55. The AI Act is legislation that finds its base in product safety and relies on setting harmonised standards in order to support compliance. These harmonised standards are essentially sets of operational rules that have been established by the European Standardisation bodies, such as the European Committee for Standardisation (CEN), the European Committee for Electrotechnical Standardisation (CENELEC) and the European Telecommunications Standards Institute. Industry experts, civil society and trade unions are translating the requirements set out by the EU sectoral legislation into the specific mandates set by the European Commission. The AI Act obligates the developers, deployers and users of AI on mandates for transparency, risk management and compliance mechanisms 

The Code of Practice for General Purpose AI

The most popular applications of GPAI include ChatGPT and other foundational models such as CoPilot from Microsoft, BERT  from Google, Llama from Meta AI and many others and they are under constant development and upgradation.  The 36-pages long draft Code of Practice for General Purpose AI is meant to serve as a roadmap for tech companies to comply with the AI Act and avoid paying penalties. It focuses on transparency, copyright compliance, risk assessment, and technical/governance risk mitigation as the core areas for the companies that are developing GPAIs. It also lays down guidelines that look to enable greater transparency on what goes into developing GPAIs. 

The Draft Code's provisions for risk assessment focus on preventing cyber attacks, large-scale discrimination, nuclear and misinformation risks, and the risk of the models acting autonomously without oversight. 

Policy Implications

The EU’s Draft AI Rules and Code of Practice represent a bold step in shaping the governance of general-purpose AI, positioning the EU as a global pioneer in responsible AI regulation. By prioritising harmonised standards, ethical safeguards, and risk mitigation, these rules aim to ensure AI benefits society while addressing its inherent risks. While the code is a welcome step, the compliance burdens on MSMEs and startups could hinder innovation, whereas, the voluntary nature of the Code raises concerns about accountability. Additionally, harmonising these ambitious standards with varying global frameworks, especially in regions like the U.S. and India, presents a significant challenge to achieving a cohesive global approach.

Conclusion

The EU’s initiative to regulate general-purpose AI aligns with its legacy of proactive governance, setting the stage for a transformative approach to balancing innovation with ethical accountability. However, challenges remain. Striking the right balance is crucial to avoid stifling innovation while ensuring robust enforcement and inclusivity for smaller players. Global collaboration is the next frontier. As the EU leads, the world must respond by building bridges between regional regulations and fostering a unified vision for AI governance. This demands active stakeholder engagement, adaptive frameworks, and a shared commitment to addressing emerging challenges in AI. The EU’s Draft AI Rules are not just about regulation, they are about leading a global conversation. 

References

• https://indianexpress.com/article/technology/artificial-intelligence/new-eu-ai-code-of-practice-draft-rules-9671152/ 
• https://digital-strategy.ec.europa.eu/en/policies/ai-code-practice 
• https://www.csis.org/analysis/eu-code-practice-general-purpose-ai-key-takeaways-first-draft#:~:text=Drafting%20of%20the%20Code%20of%20Practice%20is%20taking%20place%20under,the%20drafting%20of%20the%20code. 
• https://copyrightblog.kluweriplaw.com/2024/12/16/first-draft-of-the-general-purpose-ai-code-of-practice-has-been-released/

Introduction 

In the digital era, where technology is growing rapidly,  the role of Artificial Intelligence (AI) has been making its way to different corners of the world. Where nothing seems to be impossible, technology and innovation have been moving conjointly and once again, and such innovation is in the limelight with its groundbreaking initiative known as “Project Groot”, which has been announced by the AI chip leader “Nvidia”. The core of this project is the fusion of technology with AI and robotics, where a humanoid can be produced with the capability to understand the natural language and interact with it to further learn from the physical environment by observing human actions and skills. Project Groot aims to assist humans in diverse sectors such as Healthcare and so on. 

Humanoid robots are based on NVIDIA’s thor system-on-chip (SoC). The thor powers the intelligence of these robots, and the chip has been designed to handle complex tasks and ensure a safe and natural interaction between humans and robots. However, a big question arises about the ethical considerations of privacy, autonomy and the possible replacement of human workers. 

Brief Analysis 

Nvidia has announced Project GR00T, or Generalist Robot 00 Technology, which aims to create AI-powered humanoid robots with human-like understanding and movement. The project is part of Nvidia's efforts to drive breakthroughs in robotics and embodied AI, which can interact with and learn from a physical environment. The robots built on this platform are designed to understand natural language and emulate movements by observing human actions, such as coordination, dexterity, and other skills.

The model has been trained on NVIDIA GPU-accelerated simulation, enabling the robots to learn from human demonstrations with imitation learning and from the robotics platform NVIDIA Isaac Lab for reinforcement learning. This multimodal AI system acts as the mind for humanoid robots, allowing them to learn new skills and interact with the real world. Leading names in robotics, such as Figure, Boston Dynamics, Apptronik, Agility Robotics, Sanctuary AI, and Unitree, are reported to have collaborated with Nvidia to leverage GR00T.

Nvidia has also updated Isaac with Isaac Manipulator and Isaac Perceptor, which add multi-camera 3D vision. The company also unveiled a new computer, Jetson Thor, to aid humanoid robots based on NVIDIA's SoC, which is designed to handle complex tasks and ensure a safe and natural interaction between humans and robots.

Despite the potential job loss associated with humanoid robots potentially handling hazardous and repetitive tasks, many argue that they can aid humans and make their lives more comfortable rather than replacing them.

Policy Recommendations 

The Nvidia project highlights a significant development in AI Robotics, presenting a brimming potential and ethical challenges critical for the overall development and smooth assimilation of AI-driven tech in society. To ensure its smooth assimilation, a comprehensive policy framework must be put in place. This includes:

• Human First Policy - Emphasis should be on better augmentation rather than replacement. The authorities must focus on better research and development (R&D) of applications that aid in modifying human capabilities, enhancing working conditions, and playing a role in societal growth. 
• Proper Ethical Guidelines - Guidelines stressing human safety, autonomy and privacy should be established. These norms must include consent for data collection, fair use of AI in decision making and proper protocols for data security. 
• Deployment of Inclusive Technology - Access to AI Driven Robotics tech should be made available to diverse sectors of society. It is imperative to address potential algorithm bias and design flaws to avoid discrimination and promote inclusivity.
• Proper Regulatory Frameworks - It is crucial to establish regulatory frameworks to govern the smooth deployment and operation of AI-driven tech. The framework must include certification for safety and standards, frequent audits and liability protocols to address accidents. 
• Training Initiatives - Educational programs should be introduced to train the workforce for integrating AI driven robotics and their proper handling. Upskilling of the workforce should be the top priority of corporations to ensure effective integration of AI Robotics. 
• Collaborative Research Initiatives - AI and emerging technologies have a profound impact on the trajectory of human development. It is imperative to foster collaboration among governments, industry and academia to drive innovation in AI robotics responsibly and undertake collaborative initiatives to mitigate and address technical, societal, legal and ethical issues posed by AI Robots. 

Conclusion 

On the whole, Project GROOT is a significant quantum leap in the advancement of robotic technology and indeed paves the way for a future where robots can integrate seamlessly into various aspects of human lives. 

References

• https://indianexpress.com/article/explained/explained-sci-tech/what-is-nvidias-project-gr00t-impact-robotics-9225089/
• https://medium.com/paper-explanation/understanding-nvidias-project-groot-762d4246b76d
• https://www.techradar.com/pro/nvidias-project-groot-brings-the-human-robot-future-a-significant-step-closer
• https://www.barrons.com/livecoverage/nvidia-gtc-ai-conference/card/nvidia-announces-ai-model-for-humanoid-robot-development-BwT9fewMyD6XbuBrEDSp

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