#FactCheck-AI-Generated Viral Image of US President Joe Biden Wearing a Military Uniform

Introduction

YouTube is testing a new feature called ‘Notes,’ which allows users to add community-sourced context to videos. The feature allows users to clarify if a video is a parody or if it is misrepresenting information. The feature builds on existing features to provide helpful content alongside videos. Currently under testing, the feature will be available to a limited number of eligible contributors who will be invited to write notes on videos. These notes will appear publicly under a video if they are found to be broadly helpful. Viewers will be able to rate notes into three categories: ‘Helpful,’ ‘Somewhat helpful,’ or ‘Unhelpful’. Based on the ratings, YouTube will determine which notes are published. The feature will first be rolled out on mobile devices in the U.S. in English. The Google-owned platform will look at ways to improve the feature over time, including whether it makes sense to expand it to other markets. 

YouTube To Roll Out The New ‘Notes’ Feature

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 in its blog 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.

YouTube further stated in its blog that a limited number of eligible contributors will be invited via email or Creator Studio notifications to write notes so that they can test the feature and add value to the system before the organisation decides on next steps and whether or not to expand the feature. Eligibility criteria include having an active YouTube channel in good standing with Yotube’s Community Guidelines.

Viewers in the U.S. will start seeing notes on videos in the coming weeks and months. In this initial pilot, third-party evaluators will rate the helpfulness of notes, which will help train the platform’s systems. As the pilot moves forward, contributors themselves will rate notes as well.

Notes will appear publicly under a video if they are found to be broadly helpful. People will be asked whether they think a note is helpful, somewhat helpful, or unhelpful and the reasons for the same. For example, if a note is marked as ‘Helpful,’ the evaluator will have the opportunity to specify  if it is so because it cites high-quality sources or is written clearly and neutrally. A bridging-based algorithm will be used to consider these ratings and determine what notes are published. YouTube is excited to explore new ways to make context-setting even more relevant, dynamic, and unique to the videos we are watching, at scale, across the huge variety of content on YouTube.

CyberPeace Analysis: How Can Notes Help Counter Misinformation

The potential effectiveness of countering misinformation on YouTube using the proposed ‘Notes’ feature is significant. Enabling contributors to include notes on videos can offer relevant and accurate context to clarify any misleading or false information in the video. These notes can aid in enhancing viewers' comprehension of the content and detecting misinformation. The participation from users to rate the added notes as helpful, somewhat helpful, and unhelpful adds a heightened layer of transparency and public participation in identifying the accuracy of the content. 

As YouTube intends to gather feedback from its various stakeholders to improve the feature over time, one can look forward to improved policy and practical over time: the feedback mechanism will allow for continuous refinement of the feature, ensuring it effectively addresses misinformation. The platform employs algorithms to identify helpful notes that cater to a broad audience across different perspectives. This helps showcase accurate information and combat misinformation.

Furthermore, along with the Notes feature, YouTube should explore and implement prebunking and debunking strategies on the platform by promoting educational content and empowering users to discern between fact and any misleading information. 

Conclusion

The new feature, currently in the testing phase, aims to counter misinformation by providing context, enabling user feedback, leveraging algorithms, promoting transparency, and continuously improving information quality. Considering the diverse audience on the platform and high volumes of daily content consumption, it is important for both the platform operators and users to engage with factual, verifiable information. The fallout of misinformation on such a popular platform can be immense, and so, any mechanism or feature that can help counter the same must be developed to its full potential. Apart from this new Notes feature, YouTube has also implemented certain measures in the past to counter misinformation, such as providing authenticated sources to counter any election misinformation during the recent 2024 elections in India. These efforts are a welcome contribution to our shared responsibility as netizens to create a trustworthy, factual and truly-informational digital ecosystem.

References:

• https://blog.youtube/news-and-events/new-ways-to-offer-viewers-more-context/
• https://www.thehindu.com/sci-tech/technology/internet/youtube-tests-feature-that-will-let-users-add-context-to-videos/article68302933.ece

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A report by MarketsandMarkets in 2024 showed that the global AI market size is estimated to grow from USD 214.6 billion in 2024 to USD 1,339.1 billion in 2030, at a CAGR of 35.7%. AI has become an enabler of productivity and innovation. A Forbes Advisor survey conducted in 2023 reported that 56% of businesses use AI to optimise their operations and drive efficiency. Further, 51% use AI for cybersecurity and fraud management, 47% employ AI-powered digital assistants to enhance productivity and 46% use AI to manage customer relationships.

AI has revolutionised business functions. According to a Forbes survey, 40% of businesses rely on AI for inventory management, 35% harness AI for content production and optimisation and 33% deploy AI-driven product recommendation systems for enhanced customer engagement.  This blog addresses the opportunities and challenges posed by integrating AI into operational efficiency.

Artificial Intelligence and its resultant Operational Efficiency

AI has exemplary optimisation or efficiency capabilities and is widely used to do repetitive tasks. These tasks include payroll processing, data entry, inventory management, patient registration, invoicing, claims processing, and others. AI use has been incorporated into such tasks as it can uncover complex patterns using NLP, machine learning, and deep learning beyond human capabilities. It has also shown promise in improving the decision-making process for businesses in time-critical, high-pressure situations. 

AI-driven efficiency is visible in industries such as the manufacturing industry for predictive maintenance, in the healthcare industry for streamlining diagnostics and in logistics for route optimisation. Some of the most common real-world examples of AI increasing operational efficiency are self-driving cars (Tesla), facial recognition (Apple Face ID), language translation (Google Translate), and medical diagnosis (IBM Watson Health)

Harnessing AI has advantages as it helps optimise the supply chain, extend product life cycles, and ultimately conserve resources and cut operational costs. 

Policy Implications for AI Deployment 

Some of the policy implications for development for AI deployment are as follows:

1. Develop clear and adaptable regulatory frameworks for the ongoing and future developments in AI. The frameworks need to ensure that innovation is not hindered while managing the potential risks. 
2. As AI systems rely on high-quality data that is accessible and interoperable to function effectively and without proper data governance, these systems may produce results that are biased, inaccurate and unreliable. Therefore, it is necessary to ensure data privacy as it is essential to maintain trust and prevent harm to individuals and organisations.
3. Policy developers need to focus on creating policies that upskill the workforce which complements AI development and therefore job displacement. 
4. To ensure cross-border applicability and efficiency of standardising AI policies, the policy-makers need to ensure that international cooperation is achieved when developing the policies.

Addressing Challenges and Risks 

Some of the main challenges that emerge with the development of AI are algorithmic bias, cybersecurity threats and the dependence on exclusive AI solutions or where the company retains exclusive control over the source codes. Some policy approaches that can be taken to mitigate these challenges are:

1. Having a robust accountability mechanism. 
2. Establishing identity and access management policies that have technical controls like authentication and authorisation mechanisms. 
3. Ensure that the learning data that AI systems use follows ethical considerations such as data privacy, fairness in decision-making, transparency, and the interpretability of AI models.

Conclusion 

AI can contribute and provide opportunities to drive operational efficiency in businesses. It can be an optimiser for productivity and costs and foster innovation for different industries. But this power of AI comes with its own considerations and therefore, it must be balanced with proactive policies that address the challenges that emerge such as the need for data governance, algorithmic bias and risks associated with cybersecurity. A solution to overcome these challenges is establishing an adaptable regulatory framework, fostering workforce upskilling and promoting international collaborations. As businesses integrate AI into core functions, it becomes necessary to leverage its potential while safeguarding fairness, transparency, and trust. AI is not just an efficiency tool, it has become a stimulant for organisations operating in a rapidly evolving digital world.

References

• https://indianexpress.com/article/technology/artificial-intelligence/ai-indian-businesses-long-term-gain-operational-efficiency-9717072/ 
• https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-market-74851580.html
• https://www.forbes.com/councils/forbestechcouncil/2024/08/06/smart-automation-ais-impact-on-operational-efficiency/ 
• https://www.processexcellencenetwork.com/ai/articles/ai-operational-excellence 
• https://www.leewayhertz.com/ai-for-operational-efficiency/ 
• https://www.forbes.com/councils/forbestechcouncil/2024/11/04/bringing-ai-to-the-enterprise-challenges-and-considerations/  

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Introduction

Misinformation is a major issue in the AI age, exacerbated by the broad adoption of AI technologies. The misuse of deepfakes, bots, and content-generating algorithms have made it simpler for bad actors to propagate misinformation on a large scale. These technologies are capable of creating manipulative audio/video content, propagate political propaganda, defame individuals, or incite societal unrest. AI-powered bots may flood internet platforms with false information, swaying public opinion in subtle ways. The spread of misinformation endangers democracy, public health, and social order. It has the potential to affect voter sentiments, erode faith in the election process, and even spark violence. Addressing misinformation includes expanding digital literacy, strengthening platform detection capabilities, incorporating regulatory checks, and removing incorrect information.

AI's Role in Misinformation Creation

AI's growth in its capabilities to generate content have grown exponentially in recent years. Legitimate uses or purposes of AI many-a-times take a backseat and result in the exploitation of content that already exists on the internet. One of the main examples of misinformation flooding the internet is when AI-powered bots flood social media platforms with fake news at a scale and speed that makes it impossible for humans to track and figure out whether the same is true or false.

The netizens in India are greatly influenced by viral content on social media. AI-generated misinformation can have particularly negative consequences. Being literate in the traditional sense of the word does not automatically guarantee one the ability to parse through the nuances of social media content authenticity and impact. Literacy, be it social media literacy or internet literacy, is under attack and one of the main contributors to this is the rampant rise of AI-generated misinformation. Some of the most common examples of misinformation that can be found are related to elections, public health, and communal issues. These issues have one common factor that connects them, which is that they evoke strong emotions in people and as such can go viral very quickly and influence social behaviour, to the extent that they may lead to social unrest, political instability and even violence. Such developments lead to public mistrust in the authorities and institutions, which is dangerous in any economy, but even more so in a country like India which is home to a very large population comprising a diverse range of identity groups. 

Misinformation and Gen AI

Generative AI (GAI) is a powerful tool that allows individuals to create massive amounts of realistic-seeming content, including imitating real people's voices and creating photos and videos that are indistinguishable from reality. Advanced deepfake technology blurs the line between authentic and fake. However, when used smartly, GAI is also capable of providing a greater number of content consumers with trustworthy information, counteracting misinformation. 

Generative AI (GAI) is a technology that has entered the realm of autonomous content production and language creation, which is linked to the issue of misinformation. It is often difficult to determine if content originates from humans or machines and if we can trust what we read, see, or hear. This has led to media users becoming more confused about their relationship with media platforms and content and highlighted the need for a change in traditional journalistic principles.

We have seen a number of different examples of GAI in action in recent times, from fully AI-generated fake news websites to fake Joe Biden robocalls telling the Democrats in the U.S. not to vote. The consequences of such content and the impact it could have on life as we know it are almost too vast to even comprehend at present. If our ability to identify reality is quickly fading, how will we make critical decisions or navigate the digital landscape safely? As such, the safe and ethical use and applications of this technology needs to be a top global priority. 

Challenges for Policymakers

AI's ability to generate anonymous content makes it difficult to hold perpetrators accountable due to the massive amount of data generated. The decentralised nature of the internet further complicates regulation efforts, as misinformation can spread across multiple platforms and jurisdictions. Balancing the need to protect the freedom of speech and expression with the need to combat misinformation is a challenge. Over-regulation could stifle legitimate discourse, while under-regulation could allow misinformation to propagate unchecked. India's multilingual population adds more layers to already-complex issue, as AI-generated misinformation is tailored to different languages and cultural contexts, making it harder to detect and counter. Therefore, developing strategies catering to the multilingual population is necessary.

Potential Solutions

To effectively combat AI-generated misinformation in India, an approach that is multi-faceted and multi-dimensional is essential. Some potential solutions are as follows:

• Developing a framework that is specific in its application to address AI-generated content. It should include stricter penalties for the originator and spreader and dissemination of fake content in proportionality to its consequences. The framework should establish clear and concise guidelines for social media platforms to ensure that proactive measures are taken to detect and remove AI-generated misinformation.
• Investing in tools that are driven by AI for customised detection and flagging of misinformation in real time. This can help in identifying deepfakes, manipulated images, and other forms of AI-generated content. 

• The primary aim should be to encourage different collaborations between tech companies, cyber security orgnisations, academic institutions and government agencies to develop solutions for combating misinformation. 
• Digital literacy programs will empower individuals by training them to evaluate online content. Educational programs in schools and communities teach critical thinking and media literacy skills, enabling individuals to better discern between real and fake content.

Conclusion

AI-generated misinformation presents a significant threat to India, and it is safe to say that the risks posed are at scale with the rapid rate at which the nation is developing technologically. As the country moves towards greater digital literacy and unprecedented mobile technology adoption, one must be cognizant of the fact that even a single piece of misinformation can quickly and deeply reach and influence a large portion of the population. Indian policymakers need to rise to the challenge of AI-generated misinformation and counteract it by developing comprehensive strategies that not only focus on regulation and technological innovation but also encourage public education. AI technologies are misused by bad actors to create hyper-realistic fake content including deepfakes and fabricated news stories, which can be extremely hard to distinguish from the truth. The battle against misinformation is complex and ongoing, but by developing and deploying the right policies, tools, digital defense frameworks and other mechanisms, we can navigate these challenges and safeguard the online information landscape.

References:

• https://economictimes.indiatimes.com/news/how-to/how-ai-powered-tools-deepfakes-pose-a-misinformation-challenge-for-internet-users/articleshow/98770592.cms?from=mdr 
• https://www.dw.com/en/india-ai-driven-political-messaging-raises-ethical-dilemma/a-69172400 
• https://pure.rug.nl/ws/portalfiles/portal/975865684/proceedings.pdf#page=62 

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