Post Session Report on Universal Acceptance and Multilingual Internet at BIT University under CyberPeace Center of Excellence (CCoE)
11th November 2022 CyberPeace Foundation in association with Universal Acceptance has successfully conducted the workshop on Universal Acceptance and Multilingual Internet for the students and faculties of BIT University under CyberPeace Center of Excellence (CCoE).
CyberPeace Foundation has always been engaged towards the aim of spreading awareness regarding the various developments, avenues, opportunities and threats regarding cyberspace. The same has been the keen principle of the CyberPeace Centre of Excellence setup in collaboration with various esteemed educational institutes. We at CyberPeace Foundation would like to take the collaborations and our efforts to a new height of knowledge and awareness by proposing a workshop on UNIVERSAL ACCEPTANCE AND MULTILINGUAL INTERNET. This workshop was instrumental in providing the academia and research community a wholesome outlook towards the multilingual spectrum of internet including Internationalized domain names and email address Internationalization.
Date –11th November 2022
Time – 10:00 AM to 12:00 PM
Duration – 2 hours
Mode - Online
Audience – Academia and Research Community
Participants Joined- 15
Crowd Classification - Engineering students (1st and 4th year, all streams) and Faculties members
Organizer : Mr. Harish Chowdhary : UA Ambassador
Moderator: Ms. Pooja Tomar, Project coordinator cum trainer
Speakers - Mr. Abdalmonem Galila, Abdalmonem: Vice Chair , Universal Acceptance Steering Group (UASG)and
Mr. Mahesh D Kulkarni Director, Evaris Systems and Former Senior Director, CDAC, Government of India,First session was delivered by Mr. Abdalmonem Galila, Abdalmonem: Vice Chair , Universal Acceptance Steering Group (UASG) “Universal Acceptance( UA) and why UA matters?”
- What is universal acceptance?
- UA is cornerstone to a digitally inclusive internet by ensuring all domain names and email addresses in all languages, script and character length.
- Achieving UA ensures that every person has the ability to navigate the internet.
- Different UA issues were also discussed and explained.
- Tagated systems by the UA and implication were discussed in detail.
Second session was delivered by Mr. Mahesh D Kulkarni, ES Director Evaris on the topic of “IDNs in Indian languages perspective- challenges and solutions”.
- The multilingual diversity of India was focused on and its impact.
- Most students were not aware of what Unicode, IDNS is and their usage.
- Students were briefed by giving real time examples on IDN, Domain name implementation using local language.
- In depth knowledge of and practical exposure of Universal Acceptance and Multilingual Internet has been served to the students.
- Tools and Resources for Domain Name and Domain Languages were explained.
- Languages nuances of Multilingual diversity of India explained with real time facts and figures.
- Given the idea of IDN Email,Homograph attack,Homographic variant with proper real time examples.
- Explained about the security threats and IDNA protocols.
- Given the explanation on ABNF.
- Explained the stages of Universal Acceptance.
Related Blogs
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THREE CENTRES OF EXCELLENCE IN ARTIFICIAL INTELLIGENCE:
India’s Finance Minister, Mrs. Nirmala Sitharaman, with a vision of ‘Make AI for India’ and ‘Make AI work for India, ’ announced during the presentation of Union Budget 2023 that the Indian Government is planning to set up three ‘Centre of Excellence’ for Artificial Intelligence in top Educational Institutions to revolutionise fields such as health, agriculture, etc.
Under the ‘Amirt Kaal,’ i.e., the budget of 2023 is a stepping stone by the government to have a technology-driven knowledge-based economy and the seven priorities that have been set up by the government called ‘Saptarishi’ such as inclusive development, reaching the last mile, infrastructure investment, unleashing potential, green growth, youth power, and financial sector will guide the nation in this endeavor along with leading industry players that will partner in conducting interdisciplinary research, developing cutting edge applications and scalable problem solutions in such areas.
The government has already formed the roadmap for AI in the nation through MeitY, NASSCOM, and DRDO, indicating that the government has already started this AI revolution. For AI-related research and development, the Centre for Artificial Intelligence and Robotics (CAIR) has already been formed, and biometric identification, facial recognition, criminal investigation, crowd and traffic management, agriculture, healthcare, education, and other applications of AI are currently being used.
Even a task force on artificial intelligence (AI) was established on August 24, 2017. The government had promised to set up Centers of Excellence (CoEs) for research, education, and skill development in robotics, artificial intelligence (AI), digital manufacturing, big data analytics, quantum communication, and the Internet of Things (IoT) and by announcing the same in the current Union budget has planned to fulfill the same.
The government has also announced the development of 100 labs in engineering institutions for developing applications using 5G services that will collaborate with various authorities, regulators, banks, and other businesses.
Developing such labs aims to create new business models and employment opportunities. Among others, it will also create smart classrooms, precision farming, intelligent transport systems, and healthcare applications, as well as new pedagogy, curriculum, continual professional development dipstick survey, and ICT implementation will be introduced for training the teachers.
POSSIBLE ROLES OF AI:
The use of AI in top educational institutions will help students to learn at their own pace, using AI algorithms providing customised feedback and recommendations based on their performance, as it can also help students identify their strengths and weaknesses, allowing them to focus their study efforts more effectively and efficiently and will help train students in AI and make the country future-ready.
The main area of AI in healthcare, agriculture, and sustainable cities would be researching and developing practical AI applications in these sectors. In healthcare, AI can be effective by helping medical professionals diagnose diseases faster and more accurately by analysing medical images and patient data. It can also be used to identify the most effective treatments for specific patients based on their genetic and medical history.
Artificial Intelligence (AI) has the potential to revolutionise the agriculture industry by improving yields, reducing costs, and increasing efficiency. AI algorithms can collect and analyse data on soil moisture, crop health, and weather patterns to optimise crop management practices, improve yields and the health and well-being of livestock, predict potential health issues, and increase productivity. These algorithms can identify and target weeds and pests, reducing the need for harmful chemicals and increasing sustainability.
ROLE OF AI IN CYBERSPACE:
Artificial Intelligence (AI) plays a crucial role in cyberspace. AI technology can enhance security in cyberspace, prevent cyber-attacks, detect and respond to security threats, and improve overall cybersecurity. Some of the specific applications of AI in cyberspace include:
- Intrusion Detection: AI-powered systems can analyse large amounts of data and detect signs of potential cyber-attacks.
- Threat Analysis: AI algorithms can help identify patterns of behaviour that may indicate a potential threat and then take appropriate action.
- Fraud Detection: AI can identify and prevent fraudulent activities, such as identity theft and phishing, by analysing large amounts of data and detecting unusual behaviour patterns.
- Network Security: AI can monitor and secure networks against potential cyber-attacks by detecting and blocking malicious traffic.
- Data Security: AI can be used to protect sensitive data and ensure that it is only accessible to authorised personnel.
CONCLUSION:
Introducing AI in top educational institutions and partnering it with leading industries will prove to be a stepping stone to revolutionise the development of the country, as Artificial Intelligence (AI) has the potential to play a significant role in the development of a country by improving various sectors and addressing societal challenges. Overall, we hope to see an increase in efficiency and productivity across various industries, leading to increased economic growth and job creation, improved delivery of healthcare services by increasing access to care and, improving patient outcomes, making education more accessible and effective as AI has the potential to improve various sectors of a country and contribute to its overall development and progress. However, it’s important to ensure that AI is developed and used ethically, considering its potential consequences and impact on society.
References:
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Brief Overview of the EU AI Act
The EU AI Act, Regulation (EU) 2024/1689, was officially published in the EU Official Journal on 12 July 2024. This landmark legislation on Artificial Intelligence (AI) will come into force just 20 days after publication, setting harmonized rules across the EU. It amends key regulations and directives to ensure a robust framework for AI technologies. The AI Act, a set of EU rules governing AI, has been in development for two years and now, the EU AI Act enters into force across all 27 EU Member States on 1 August 2024, with certain future deadlines tied up and the enforcement of the majority of its provisions will commence on 2 August 2026. The law prohibits certain uses of AI tools, including those that threaten citizens' rights, such as biometric categorization, untargeted scraping of faces, and systems that try to read emotions are banned in the workplace and schools, as are social scoring systems. It also prohibits the use of predictive policing tools in some instances. The law takes a phased approach to implementing the EU's AI rulebook, meaning there are various deadlines between now and then as different legal provisions will start to apply.
The framework puts different obligations on AI developers, depending on use cases and perceived risk. The bulk of AI uses will not be regulated as they are considered low-risk, but a small number of potential AI use cases are banned under the law. High-risk use cases, such as biometric uses of AI or AI used in law enforcement, employment, education, and critical infrastructure, are allowed under the law but developers of such apps face obligations in areas like data quality and anti-bias considerations. A third risk tier also applies some lighter transparency requirements for makers of tools like AI chatbots.
In case of failure to comply with the Act, the companies in the EU providing, distributing, importing, and using AI systems and GPAI models, are subject to fines of up to EUR 35 million or seven per cent of the total worldwide annual turnover, whichever is higher.
Key highlights of EU AI Act Provisions
- The AI Act classifies AI according to its risk. It prohibits Unacceptable risks such as social scoring systems and manipulative AI. The regulation mostly addresses high-risk AI systems.
- Limited-risk AI systems are subject to lighter transparency obligations and according to the act, the developers and deployers must ensure that the end-users are aware that the interaction they are having is with AI such as Chatbots and Deepfakes. The AI Act allows the free use of minimal-risk AI. This includes the majority of AI applications currently available in the EU single market like AI-enabled video games, and spam filters, but with the advancement of Gen AI changes with regards to this might be done. The majority of obligations fall on providers (developers) of high-risk AI systems that intend to place on the market or put into service high-risk AI systems in the EU, regardless of whether they are based in the EU or a third country. And also, a third-country provider where the high-risk AI system’s output is used in the EU.
- Users are natural or legal persons who deploy an AI system in a professional capacity, not affected end-users. Users (deployers) of high-risk AI systems have some obligations, though less than providers (developers). This applies to users located in the EU, and third-country users where the AI system’s output is used in the EU.
- General purpose AI or GPAI model providers must provide technical documentation, and instructions for use, comply with the Copyright Directive, and publish a summary of the content used for training. Free and open license GPAI model providers only need to comply with copyright and publish the training data summary, unless they present a systemic risk. All providers of GPAI models that present a systemic risk – open or closed – must also conduct model evaluations, and adversarial testing, and track and report serious incidents and ensure cybersecurity protections.
- The Codes of Practice will account for international approaches. It will cover but not necessarily be limited to the obligations, particularly the relevant information to include in technical documentation for authorities and downstream providers, identification of the type and nature of systemic risks and their sources, and the modalities of risk management accounting for specific challenges in addressing risks due to the way they may emerge and materialize throughout the value chain. The AI Office may invite GPAI model providers, and relevant national competent authorities to participate in drawing up the codes, while civil society, industry, academia, downstream providers and independent experts may support the process.
Application & Timeline of Act
The EU AI Act will be fully applicable 24 months after entry into force, but some parts will be applicable sooner, for instance the ban on AI systems posing unacceptable risks will apply six months after the entry into force. The Codes of Practice will apply nine months after entry into force. Rules on general-purpose AI systems that need to comply with transparency requirements will apply 12 months after the entry into force. High-risk systems will have more time to comply with the requirements as the obligations concerning them will become applicable 36 months after the entry into force. The expected timeline for the same is:
- August 1st, 2024: The AI Act will enter into force.
- February 2025: Prohibition of certain AI systems - Chapters I (general provisions) & II (prohibited AI systems) will apply; Prohibition of certain AI systems.
- August 2025: Chapter III Section 4 (notifying authorities), Chapter V (general purpose AI models), Chapter VII (governance), Chapter XII (confidentiality and penalties), and Article 78 (confidentiality) will apply, except for Article 101 (fines for General Purpose AI providers); Requirements for new GPAI models.
- August 2026: The whole AI Act applies, except for Article 6(1) & corresponding obligations (one of the categories of high-risk AI systems);
- August 2027: Article 6(1) & corresponding obligations apply.
The AI Act sets out clear definitions for the different actors involved in AI, such as the providers, deployers, importers, distributors, and product manufacturers. This means all parties involved in the development, usage, import, distribution, or manufacturing of AI systems will be held accountable. Along with this, the AI Act also applies to providers and deployers of AI systems located outside of the EU, e.g., in Switzerland, if output produced by the system is intended to be used in the EU. The Act applies to any AI system within the EU that is on the market, in service, or in use, covering both AI providers (the companies selling AI systems) and AI deployers (the organizations using those systems).
In short, the AI Act will apply to different companies across the AI distribution chain, including providers, deployers, importers, and distributors (collectively referred to as “Operators”). The EU AI Act also has extraterritorial application and can also apply to companies not established in the EU, or providers outside the EU if they -make an AI system or GPAI model available on the EU market. Even if only the output generated by the AI system is used in the EU, the Act still applies to such providers and deployers.
CyberPeace Outlook
The EU AI Act, approved by EU lawmakers in 2024, is a landmark legislation designed to protect citizens' health, safety, and fundamental rights from potential harm caused by AI systems. The AI Act will apply to AI systems and GPAI models. The Act creates a tiered risk categorization system with various regulations and stiff penalties for noncompliance. The Act adopts a risk-based approach to AI governance, categorizing potential risks into four tiers: unacceptable, high, limited, and low. Violations of banned systems carry the highest fine: €35 million, or 7 percent of global annual revenue. It establishes transparency requirements for general-purpose AI systems. The regulation also provides specific rules for general-purpose AI (GPAI) models and lays down more stringent requirements for GPAI models with 'high-impact capabilities' that could pose a systemic risk and have a significant impact on the internal market. For high-risk AI systems, the AI Act addresses the issues of fundamental rights impact assessment and data protection impact assessment.
The EU AI Act aims to enhance trust in AI technologies by establishing clear regulatory standards governing AI. We encourage regulatory frameworks that strive to balance the desire to foster innovation with the critical need to prevent unethical practices that may cause user harm. The legislation can be seen as strengthening the EU's position as a global leader in AI innovation and developing regulatory frameworks for emerging technologies. It sets a global benchmark for regulating AI. The companies to which the act applies will need to make sure their practices align with the same. The act may inspire other nations to develop their own legislation contributing to global AI governance. The world of AI is complex and challenging, the implementation of regulatory checks, and compliance by the concerned companies, all pose a conundrum. However, in the end, balancing innovation with ethical considerations is paramount.
At the same hand, the tech sector welcomes regulatory progress but warns that overly-rigid regulations could stifle innovation. Hence flexibility and adaptability are key to effective AI governance. The journey towards robust AI regulation has begun in major countries, and it is important that we find the right balance between safety and innovation and also take into consideration the industry reactions.
References:
- https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689
- https://www.theverge.com/2024/7/12/24197058/eu-ai-act-regulations-bans-deadline
- https://techcrunch.com/2024/07/12/eus-ai-act-gets-published-in-blocs-official-journal-starting-clock-on-legal-deadlines/
- https://www.wsgr.com/en/insights/eu-ai-act-to-enter-into-force-in-august.html
- https://www.techtarget.com/searchenterpriseai/tip/Is-your-business-ready-for-the-EU-AI-Act
- https://www.simmons-simmons.com/en/publications/clyimpowh000ouxgkw1oidakk/the-eu-ai-act-a-quick-guide

Executive Summary:
Recently, our team encountered a post on X (formerly Twitter) pretending Chandra Arya, a Member of Parliament of Canada is speaking in Kannada and this video surfaced after he filed his nomination for the much-coveted position of Prime Minister of Canada. The video has taken the internet by storm and is being discussed as much as words can be. In this report, we shall consider the legitimacy of the above claim by examining the content of the video, timing and verifying information from reliable sources.
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Claim:
The viral video claims Chandra Arya spoke Kannada after filing his nomination for the Canadian Prime Minister position in 2025, after the resignation of Justin Trudeau.
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Fact Check:
Upon receiving the video, we performed a reverse image search of the key frames extracted from the video, we found that the video has no connection to any nominations for the Canadian Prime Minister position.Instead, we found that it was an old video of his speech in the Canadian Parliament in 2022. Simultaneously, an old post from the X (Twitter) handle of Mr. Arya’s account was posted at 12:19 AM, May 20, 2022, which clarifies that the speech has no link with the PM Candidature post in the Canadian Parliament.
Further our research led us to a YouTube video posted on a verified channel of Hindustan Times dated 20th May 2022 with a caption -
“India-born Canadian MP Chandra Arya is winning hearts online after a video of his speech at the Canadian Parliament in Kannada went viral. Arya delivered a speech in his mother tongue - Kannada. Arya, who represents the electoral district of Nepean, Ontario, in the House of Commons, the lower house of Canada, tweeted a video of his address, saying Kannada is a beautiful language spoken by about five crore people. He said that this is the first time when Kannada is spoken in any Parliament outside India. Netizens including politicians have lauded Arya for the video.”
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Conclusion:
The viral video claiming that Chandra Arya spoke in Kannada after filing his nomination for the Canadian Prime Minister position in 2025 is completely false. The video, dated May 2022, shows Chandra Arya delivering an address in Kannada in the Canadian Parliament, unrelated to any political nominations or events concerning the Prime Minister's post. This incident highlights the need for thorough fact-checking and verifying information from credible sources before sharing.
- Claim: Misleading Claim About Chandra Arya’s PM Candidacy
- Claimed on: X (Formerly Known As Twitter)
- Fact Check: False and Misleading