#FactCheck: A viral claim suggests that by turning on Advance Chat Privacy, Meta AI can avoid reading Whatsapp chats.

Introduction

Bumble’s launch of its ‘Opening Move’ feature has sparked a new narrative on safety and privacy within the digital dating sphere and has garnered mixed reactions from users. It was launched against the backdrop of women stating that the ‘message first’ policy of Bumble was proving to be tedious. Addressing the large-scale review, Bumble launched its ‘Opening Move’ feature, whereby users can either craft or select from pre-set questions which potential matches may choose to answer to start the conversation at first glance. These questions are a segue into meaningful and insightful conversation from the get-go and overstep the traditional effort to start engaging chats between matched users. This feature is an optional feature that users may enable and as such does not prevent a user from exercising the autonomy previously in place.

Innovative Approach to Conversation Starters

Many users consider this feature as innovative; not only does it act as a catalyst for fluid conversation but also cultivates insightful dialogue, fostering meaningful interactions that are devoid of the constraint of superficial small talk. The ‘Opening Moves’ feature may also be aligned with unique scientific research indicating that individuals form their initial attractions within 3-seconds of intimate interaction, thereby proving to be a catalyst to the decision-making process of an individual in the attraction time frame. 

Organizational Benefits and Data Insights

From an organisational standpoint, the feature is a unique solution towards localisation challenges faced by apps; the option of writing a personalised ‘Opening Move’ implies setting prompts that are culturally relevant and appropriate in a specific area. Moreover, it is anticipated that Bumble may enhance and improve user experience within the platform through data analysis. Data from responses to an ‘Opening Move’ may provide valuable insights into user preferences and patterns by analysing which pre-set prompts garner more responses over others and how often is a user-written ‘Opening Move’ successful in obtaining a response in comparison with Bumble’s pre-set prompts. A quick glance at Bumble’s privacy policy[1] shows that data storing and transferring of chats between users are not shared with third parties, further safeguarding personal privacy. However,  Bumble does use the chat data for its own internal purposes after removing personally identifiable information from chats. The manner of such review and removal of data has not been specified, which may raise challenges depending upon whether the reviewer is a human or an algorithm.

However, some users perceive the feature as counterproductive to the company’s principle of ‘women make the first move’. While Bumble aims to market the feature as a neutral ground for matched users based on the exercise of choice, users see it as a step back into the heteronormative gender expectations that most dating apps conform to, putting the onus of the ‘first move’ on men. Many male users have complained that the feature acts as a catalyst for men to opt out of the dating app and would most likely refrain from interacting with profiles enabled with the ‘Opening Move’ feature, since the pressure to answer in a creative manner is disproportionate with the likelihood their response actually being entertained.[2] Coupled with the female users terming the original protocol as ‘too much effort’, the preset questions of the ‘Opening Move’ feature may actively invite users to categorise potential matches according to arbitrary questions that undermine real-life experiences, perspectives and backgrounds of each individual.[3]

Additionally, complications are likely to arise when a notorious user sets a question that indirectly gleans personal or sensitive, identifiable information. The individual responding may be bullied or be subjected to hateful slurs when they respond to such carefully crafted conversation prompts.

Safety and Privacy Concerns

On the corollary, the appearance of choice may translate into more challenges for women on the platform. The feature may spark an increase in the number of unsolicited, undesirable messages and images from a potential match. The most vulnerable groups at present remain individuals who identify as females and other sexual minorities.[4] At present, there appears to be no mechanism in place to proactively monitor the content of responses, relying instead on user reporting. This approach may prove to be impractical given the potential volume of objectionable messages, necessitating a more efficient solution to address this issue. It is to be noted that in spite of a user reporting, the current redressal systems of online platforms remain lax, largely inadequate and demonstrate ineffectiveness in addressing user concerns or grievances. This lack of proactiveness is violative of the right to redressal provided under the Digital Personal Data Protection Act, 2023. It is thought that the feature may actually take away user autonomy that Bumble originally aimed to grant since Individuals who identify as introverted, shy, soft-spoken, or non-assertive may refrain from reporting harassing messages altogether, potentially due to discomfort or reluctance to engage in confrontation. Resultantly, it is anticipated that there would be a sharp uptake in cases pertaining to cyberbullying, harassment and hate speech (especially vulgar communications) towards both the user and the potential match. 

From an Indian legal perspective, dating apps have to adhere to the Information Technology Act, 2000 [5], the Information Technology (Intermediary and Digital Media Ethics) Rules 2021 [6] and the Digital Personal Data Protection Act, 2023, that regulates a person’s digital privacy and set standards on the kind of content an intermediary may host. An obligation is cast upon an intermediary to uprise its users on what content is not allowed on its platform in addition to mandating intimation of the user’s digital rights. The lack of automated checks, as mentioned above, is likely to make Bumble non-compliant with the ethical guidelines. 

The optional nature of the ‘Opening Move’ grants users some autonomy. However, some technical updates may enhance the user experience of this feature. Technologies like AI are an effective aid in behavioural and predictive analysis. An upgraded ‘matching’ algorithm can analyse the number of un-matches a profile receives, thereby identifying and flagging a profile having multiple lapsed matches. Additionally, the design interface of the application bearing a filter option to filter out flagged profiles would enable a user to be cautious while navigating through the matches. Another possible method of weeding out notorious profiles is by deploying a peer-review system of profiles whereby a user has a singular check-box that enables them to flag a profile. Such a checkbox would ideally be devoid of any option for writing personal comments and would bear a check box stating whether the profile is most or least likely to bully/harass. This would ensure that a binary, precise response is recorded and any coloured remarks are avoided. [7]

Governance and Monitoring Mechanisms

From a governance point of view, a monitoring mechanism on the manner of crafting questions is critical. Systems should be designed to detect certain words/sentences and a specific manner of framing sentences to disallow questions contrary to the national legal framework. An onscreen notification having instructions on generally acceptable manner of conversations as a reminder to users to maintain cyber hygiene while conversing is also proposed as a mandated requirement for platforms. The notification/notice may also include guidelines on what information is safe to share in order to safeguard user privacy. Lastly, a revised privacy policy should establish the legal basis for processing responses to ‘Opening Moves’, thereby bringing it in compliance with national legislations such as the Digital Personal Data Protection Act, 2023.

Conclusion

Bumble's 'Opening Move' feature marks the company’s ‘statement’ step to address user concerns regarding initiating conversations on the platform. While it has been praised for fostering more meaningful interactions, it also raises not only ethical concerns but also concerns over user safety. While the 'Opening Move' feature can potentially enhance user experience, its success is largely dependent on Bumble's ability to effectively navigate the complex issues associated with this feature. A more robust monitoring mechanism that utilises newer technology is critical to address user concerns and to ensure compliance with national laws on data privacy.

Endnotes:

• [1] Bumble’s privacy policy https://bumble.com/en-us/privacy  
• [2] Discussion thread, r/bumble, Reddit https://www.reddit.com/r/Bumble/comments/1cgrs0d/women_on_bumble_no_longer_have_to_make_the_first/?share_id=idm6DK7e0lgkD7ZQ2TiTq&utm_content=2&utm_medium=ios_app&utm_name=ioscss&utm_source=share&utm_term=1&rdt=65068 
• [3] Mcrea-Hedley, Olivia, “Love on the Apps: When did Dating Become so Political?”, 8 February 2024 https://www.service95.com/the-politics-of-dating-apps/ 
• [4] Gewirtz-Meydan, A., Volman-Pampanel, D., Opuda, E., & Tarshish, N. (2024). ‘Dating Apps: A New Emerging Platform for Sexual Harassment? A Scoping Review. Trauma, Violence, & Abuse, 25(1), 752-763. https://doi.org/10.1177/15248380231162969 
• [5]  Information Technology Act, 2000 https://www.indiacode.nic.in/bitstream/123456789/13116/1/it_act_2000_updated.pdf 
• [6]  Information Technology (Intermediary Guidelines and Digital Media Ethics) Rules 2021 https://www.meity.gov.in/writereaddata/files/Information%20Technology%20%28Intermediary%20Guidelines%20and%20Digital%20Media%20Ethics%20Code%29%20Rules%2C%202021%20%28updated%2006.04.2023%29-.pdf 
• [7]  Date Confidently: Engaging Features in a Dating App (Use Cases), Consaguous, 10 July 2023 https://www.consagous.co/blog/date-confidently-engaging-features-in-a-dating-app-use-cases  

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Executive Summary:
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A widely circulated claim on social media, including a post from the official X account of Pakistan, alleges that the Pakistan Air Force (PAF) carried out an airstrike on India, supported by a viral video. However, according to our research, the video used in these posts is actually footage from the video game Arma-3 and has no connection to any real-world military operation. The use of such misleading content contributes to the spread of false narratives about a conflict between India and Pakistan and has the potential to create unnecessary fear and confusion among the public.

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Claim:
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Viral social media posts, including the official Government of Pakistan X handle, claims that the PAF launched a successful airstrike against Indian military targets. The footage accompanying the claim shows jets firing missiles and explosions on the ground. The video is presented as recent and factual evidence of heightened military tensions.

Fact Check:

As per our research using reverse image search, the videos circulating online that claim to show Pakistan launching an attack on India under the name 'Operation Sindoor' are misleading. There is no credible evidence or reliable reporting to support the existence of any such operation. The Press Information Bureau (PIB) has also verified that the video being shared is false and misleading. During our research, we also came across footage from the video game Arma-3 on YouTube, which appears to have been repurposed to create the illusion of a real military conflict. This strongly indicates that fictional content is being used to propagate a false narrative. The likely intention behind this misinformation is to spread fear and confusion by portraying a conflict that never actually took place.

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Conclusion:
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It is true to say that Pakistan is using the widely shared misinformation videos to attack India with false information. There is no reliable evidence to support the claim, and the videos are misleading and irrelevant. Such false information must be stopped right away because it has the potential to cause needless panic. No such operation is occurring, according to authorities and fact-checking groups.

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• Claim: Viral social media posts claim PAF attack on India
• Claimed On:  Social Media
• Fact Check: False and Misleading

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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