#FactCheck - Viral Video of Argentina Football Team Dancing to Bhojpuri Song is Misleading

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 rise of misinformation, disinformation, and synthetic media content on the internet and social media platforms has raised serious concerns, emphasizing the need for responsible use of social media to maintain information accuracy and combat misinformation incidents. With online misinformation rampant all over the world, the World Economic Forum's 2024 Global Risk Report, notably ranks India amongst the highest in terms of risk of mis/disinformation. 

The widespread online misinformation on social media platforms necessitates a joint effort between tech/social media platforms and the government to counter such incidents. The Indian government is actively seeking to collaborate with tech/social media platforms to foster a safe and trustworthy digital environment and to also ensure compliance with intermediary rules and regulations. The Ministry of Information and Broadcasting has used ‘extraordinary powers’ to block certain YouTube channels, X (Twitter) & Facebook accounts, allegedly used to spread harmful misinformation. The government has issued advisories regulating deepfake and misinformation, and social media platforms initiated efforts to implement algorithmic and technical improvements to counter misinformation and secure the information landscape.

Efforts by the Government and Social Media Platforms to Combat Misinformation

1. Advisory regulating AI, deepfake and misinformation

The Ministry of Electronics and Information Technology (MeitY) issued a modified advisory on 15th March 2024, in suppression of the advisory issued on 1st March 2024. The latest advisory specifies that the platforms should inform all users about the consequences of dealing with unlawful information on platforms, including disabling access, removing non-compliant information, suspension or termination of access or usage rights of the user to their user account and imposing punishment under applicable law. The advisory necessitates identifying synthetically created content across various formats, and instructs platforms to employ labels, unique identifiers, or metadata to ensure transparency. 

2. Rules related to content regulation

The Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (Updated as on 6.4.2023) have been enacted under the IT Act, 2000. These rules assign specific obligations on intermediaries as to what kind of information is to be hosted, displayed, uploaded, published, transmitted, stored or shared. The rules also specify provisions to establish a grievance redressal mechanism by platforms and remove unlawful content within stipulated time frames.

3. Counteracting misinformation during Indian elections 2024

To counter misinformation during the Indian elections the government and social media platforms made their best efforts to ensure the electoral integrity was saved from any threat of mis/disinformation. The Election Commission of India (ECI) further launched the 'Myth vs Reality Register' to combat misinformation and to ensure the integrity of the electoral process during the general elections in 2024. The ECI collaborated with Google to empower the citizenry by making it easy to find critical voting information on Google Search and YouTube. In this way, Google has supported the 2024 Indian General Election by providing high-quality information to voters and helping people navigate AI-generated content. Google connected voters to helpful information through product features that show data from trusted institutions across its portfolio. YouTube showcased election information panels, featuring content from authoritative sources.

4. YouTube and X (Twitter) new ‘Notes Feature’

• Notes Feature on YouTube: YouTube is testing an experimental feature that allows users to add notes to provide relevant, timely, and easy-to-understand context for videos. This initiative builds on previous products that display helpful information alongside videos, such as information panels and disclosure requirements when content is altered or synthetic. YouTube clarified that the pilot will be available on mobiles in the U.S. and in the English language, to start with. During this test phase, viewers, participants, and creators are invited to give feedback on the quality of the notes.
• Community Notes feature on X: Community Notes on X aims to enhance the understanding of potentially misleading posts by allowing users to add context to them. Contributors can leave notes on any post, and if enough people rate the note as helpful, it will be publicly displayed. The algorithm is open source and publicly available on GitHub, allowing anyone to audit, analyze, or suggest improvements. However, Community Notes do not represent X's viewpoint and cannot be edited or modified by their teams. A post with a Community Note will not be labelled, removed, or addressed by X unless it violates the X Rules, Terms of Service, or Privacy Policy. Failure to abide by these rules can result in removal from accessing Community Notes and/or other remediations. Users can report notes that do not comply with the rules by selecting the menu on a note and selecting ‘Report’ or using the provided form.

CyberPeace Policy Recommendations

Countering widespread online misinformation on social media platforms requires a multipronged approach that involves joint efforts from different stakeholders. Platforms should invest in state-of-the-art algorithms and technology to detect and flag suspected misleading information. They should also establish trustworthy fact-checking protocols and collaborate with expert fact-checking groups. Campaigns, seminars, and other educational materials must be encouraged by the government to increase public awareness and digital literacy about the mis/disinformation risks and impacts. Netizens should be empowered with the necessary skills and ability to discern fact and misleading information to successfully browse true information in the digital information age. The joint efforts by Government authorities, tech companies, and expert cyber security organisations are vital in promoting a secure and honest online information landscape and countering the spread of mis/disinformation. Platforms must encourage netizens/users to foster appropriate online conduct while using platforms and abiding by the terms & conditions and community guidelines of the platforms. Encouraging a culture of truth and integrity on the internet, honouring differing points of view, and confirming facts all help to create a more reliable and information-resilient environment. 

References:

1. https://www.meity.gov.in/writereaddata/files/Advisory%2015March%202024.pdf
2. https://blog.google/intl/en-in/company-news/outreach-initiatives/supporting-the-2024-indian-general-election/
3. https://blog.youtube/news-and-events/new-ways-to-offer-viewers-more-context/
4. https://help.x.com/en/using-x/community-notes

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In the rich history of humanity, the advent of artificial intelligence (AI) has added a new, delicate aspect. The aspect of promising technological advancement has the potential to either enrich the nest of our society or destroy it entirely. The latest straw in this complex nest is generative AI, a frontier teeming with both potential and perils. It is a realm where the ethereal concepts of cyber peace and resilience are not just theoretical constructs but tangible necessities.

The spectre of generative AI looms large over the digital landscape, casting a long shadow on the sanctity of data privacy and the integrity of political processes. The seeds of this threat were sown in the fertile soil of the Cambridge Analytica scandal of 2018, a watershed moment that unveiled the extent to which personal data could be harvested and utilized to influence electoral outcomes. However despite the indignation, the scandal resulted in meagre alterations to modus operandi of digital platforms.

Fast forward to the present day, and the spectre has only grown more ominous. A recent report by Human Rights Watch has shed light on the continued exploitation of data-driven campaigning in Hungary's re-election of Viktor Orbán. The report paints a chilling picture of political parties leveraging voter databases for targeted social media advertising, with the ruling Fidesz party even resorting to the unethical use of public service data to bolster its voter database.

The Looming Threat of Disinformation

As we stand on the precipice of 2024, a year that will witness over 50 countries holding elections, the advancements in generative AI could exponentially amplify the ability of political campaigns to manipulate electoral outcomes. This is particularly concerning in countries where information disparities are stark, providing fertile ground for the seeds of disinformation to take root and flourish.

The media, the traditional watchdog of democracy, has already begun to sound the alarm about the potential threats posed by deepfakes and manipulative content in the upcoming elections. The limited use of generative AI in disinformation campaigns has raised concerns about the enforcement of policies against generating targeted political materials, such as those designed to sway specific demographic groups towards a particular candidate.

Yet, while the threat of bad actors using AI to generate and disseminate disinformation is real and present, there is another dimension that has largely remained unexplored: the intimate interactions with chatbots. These digital interlocutors, when armed with advanced generative AI, have the potential to manipulate individuals without any intermediaries. The more data they have about a person, the better they can tailor their manipulations.

Root of the Cause 

To fully grasp the potential risks, we must journey back 30 years to the birth of online banner ads. The success of the first-ever banner ad for AT&T, which boasted an astounding 44% click rate, birthed a new era of digital advertising. This was followed by the advent of mobile advertising in the early 2000s. Since then, companies have been engaged in a perpetual quest to harness technology for manipulation, blurring the lines between commercial and political advertising in cyberspace.

Regrettably, the safeguards currently in place are woefully inadequate to prevent the rise of manipulative chatbots. Consider the case of Snapchat's My AI generative chatbot, which ostensibly assists users with trivia questions and gift suggestions. Unbeknownst to most users, their interactions with the chatbot are algorithmically harvested for targeted advertising. While this may not seem harmful in its current form, the profit motive could drive it towards more manipulative purposes.

If companies deploying chatbots like My AI face pressure to increase profitability, they may be tempted to subtly steer conversations to extract more user information, providing more fuel for advertising and higher earnings. This kind of nudging is not clearly illegal in the U.S. or the EU, even after the AI Act comes into effect. The market size of AI in India is projected to touch US$4.11bn in 2023. 

Taking this further, chatbots may be inclined to guide users towards purchasing specific products or even influencing significant life decisions, such as religious conversions or voting choices. The legal boundaries here remain unclear, especially when manipulation is not detectable by the user. 

The Crucial Dos/Dont's 

It is crucial to set rules and safeguards in order to manage the possible threats related to manipulative chatbots in the context of the general election in 2024.

First and foremost, candor and transparency are essential. Chatbots, particularly when employed for political or electoral matters, ought to make it clear to users what they are for and why they are automated. By being transparent, people are guaranteed to be aware that they are interacting with automated processes.

Second, getting user consent is crucial. Before collecting user data for any reason, including advertising or political profiling, users should be asked for their informed consent. Giving consumers easy ways to opt-in and opt-out gives them control over their data.

Furthermore, moral use is essential. It's crucial to create an ethics code for chatbot interactions that forbids manipulation, disseminating false information, and trying to sway users' political opinions. This guarantees that chatbots follow moral guidelines.

In order to preserve transparency and accountability, independent audits need to be carried out. Users might feel more confident knowing that chatbot behavior and data collecting procedures are regularly audited by impartial third parties to ensure compliance with legal and ethical norms.

Important "don'ts" to take into account. Coercion and manipulation ought to be outlawed completely. Chatbots should refrain from using misleading or manipulative approaches to sway users' political opinions or religious convictions.

Another hazard to watch out for is unlawful data collecting. Businesses must obtain consumers' express agreement before collecting personal information, and they must not sell or share this information for political reasons.

At all costs, one should steer clear of fake identities. Impersonating people or political figures is not something chatbots should do because it can result in manipulation and false information.

It is essential to be impartial. Bots shouldn't advocate for or take part in political activities that give preference to one political party over another. In encounters, impartiality and equity are crucial.

Finally, one should refrain from using invasive advertising techniques. Chatbots should ensure that advertising tactics comply with legal norms by refraining from displaying political advertisements or messaging without explicit user agreement.

Present Scenario

As we approach the critical 2024 elections and generative AI tools proliferate faster than regulatory measures can keep pace, companies must take an active role in building user trust, transparency, and accountability. This includes comprehensive disclosure about a chatbot's programmed business goals in conversations, ensuring users are fully aware of the chatbot's intended purposes.

To address the regulatory gap, stronger laws are needed. Both the EU AI Act and analogous laws across jurisdictions should be expanded to address the potential for manipulation in various forms. This effort should be driven by public demand, as the interests of lawmakers have been influenced by intensive Big Tech lobbying campaigns.

At present, India doesn’t have any specific laws pertaining to AI regulation. Ministry of Electronics and Information Technology (MEITY), is the executive body responsible for AI strategies and is constantly working towards a policy framework for AI. The Niti Ayog has presented seven principles for responsible AI which includes equality , inclusivity, safety, privacy, transparency, accountability, dependability and protection of positive human values.

Conclusion 

We are at a pivotal juncture in history. As generative AI gains more power, we must proactively establish effective strategies to protect our privacy, rights and democracy. The public's waning confidence in Big Tech and the lessons learned from the techlash underscore the need for stronger regulations that hold tech companies accountable. Let's ensure that the power of generative AI is harnessed for the betterment of society and not exploited for manipulation.

Reference

McCallum, B. S. (2022, December 23). Meta settles Cambridge Analytica scandal case for $725m. BBC News. https://www.bbc.com/news/technology-64075067

Hungary: Data misused for political campaigns. (2022, December 1). Human Rights Watch. https://www.hrw.org/news/2022/12/01/hungary-data-misused-political-campaigns

Statista. (n.d.). Artificial Intelligence - India | Statista Market forecast. https://www.statista.com/outlook/tmo/artificial-intelligence/india