#FactCheck - AI Artwork Misattributed: Mahendra Singh Dhoni Sand Sculptures Exposed as AI-Generated

Introduction

We are living in the digital age, where from ordering food to floating into a relationship everything is preferred to be digitized. It has been quite evident that in the past few years, online dating has become immensely popular due to its potential success stories. Since it has become a medium to find potential partners. Among the string of successes and pros of online dating, there seems to be a corner which is curtained that contains scams and treachery. A very recent case in Delhi puts light into the dark side of online dating where a 25-year-old journalist was trapped in an online dating scam. It portrays the threat of meeting an unknown person through an online dating app and how a person gets involved in the vicious cycle. Since the concept of online dating is all about meeting a new person and getting indulged. This incident talks about a man who met a woman through a dating app Bumble and got scammed for Rs 15000.

Unveiling the scam

It started like a fairy tale where a 25-year-old Delhi resident met with a girl on a dating app Bumble, where they spoke and found each other compatible. Followed by it the girl approaches the boy to meet at a specific restaurant situated in Delhi. The boy was away from the idea that the first meetup would turn into a nightmare which horrifying experience he would share on social media. It is not only about the financial loss but also about the emotional distress one goes through. Every coin has two sides and when surfing in the digital world one needs to keep in mind that along with the pros, there are certain cons. In the eagerness to meet someone, we should not lose our presence of mind. Continuing the incident once both reached the specified restaurant the girl made an order of various food items including beverages, shots of vodka, glasses of wine, different cuisines and hookah. Which not so surprisingly culminated in an inflated bill of Rs 15,886. After paying the hefty amount the boy went to the washroom once he came back the bill vanished followed by the girl being eager to leave the place. Till that very moment, the victim was in his dreamland where he did not get the hint that he had been scammed. Once he reached home and tried contacting the lady her account was deleted from the platform and was not reachable through calls. This incident shook the victim and pushed him to melancholy. Since he did not expect this to happen. Devastated by the fraud and treachery the man wrote about his disappointing experience on his Twitter handle addressing Delhi police to look into this.

It has been brought to the notice that similar incidents have been reported in the past as well. The trend remains the same in which the culprit insists the victim meet at a specific location decided by them, it is done with such conviction that it becomes difficult for the victim to deny. Once they accept to meet in the decided location it is followed by making the victim order expensive food and alcohol and at the time of payment giving excuses or pretending to pay. Once the payment is done the culprit rushes to leave the location or disappears without any head up. Not to be perplexed once they leave they will not leave any trace of them.

How to stay safe in the online dating world?

Online dating can bring butterflies in the stomach, and indeed it is a beautiful experience to meet someone new and fall in love but with this beauty, there comes the baggage of falling into the trap of cyber scams. While surfing online dating sites one needs to be very careful and vigilant since the highlighted incidents are relevant enough to showcase the negative impact on it.

Best practices

• Use reliable platforms:  With the growing digitalization, there are infinite platforms available for online dating. But here is the catch one needs to be very finicky in choosing an appropriate platform among the countless options. It is best to use authentic platforms or apps and read reviews and ratings before installing any such applications or platforms.
• Cross-verify the profiles:  Once you receive a profile compatible enough to talk about it is recommended to have elaborative conversations. It is not about doubting someone but being calculative and cross-checking all the information given. Before meeting the person it is best to have a detailed conversation but not reveal much about you.
• Have control in your pocket: When it comes to paying the bill be proactive in dividing the bill. It is advisable to do so that the liability of paying a hefty bill does not come from one party. This will make sure that even if one of the people has the intention to exploit the other person they will become alarmed. 
• Go with the flow: Since meeting an unknown person is all flowery and spontaneous, it is also good to follow your instinct and go with the flow if you find anything weird during the conversation or while in person. It is advisable to back off or to leave the place as soon as possible.
• Be cautious in sharing your personal information with strangers: While conversing with an unknown person online, it is very important to keep a hold on our emotions and not share any personal information which can be misused by cyber crooks. Also, it is very important that we do not discuss anything about our financial capabilities and transactions.  It is imperative to note that cyber crooks exploit the many new ways to commit online fraud by targeting innocent individuals. 
• Catching up in public places: When meeting for the first time it is advisable to meet a person in a public place such as a park, museums etc. It is the best way to avoid going to a place decided or being insisted. Since meeting in a public place gives a sense of security that people are around you.
• Keep your near people in Loop: No matter how private you are while meeting an unknown person keep your friends and near one aware of it. 

What to do if you fall into such dating scams

1. While one can be emotionally drained, it is very important to keep track of all the information shared, save all your messages, take pictures of the scammer's profile and document every small detail which can be relevant.
2. Report on the platform:  There would be a section called “Contact us” or “Report” on the platform where you can report against the scammer.  Most dating apps have this section where you can mention your issue so that they can take action against such profiles.
3. National Cyber Crime Reporting Portal, 1930 Helpline: The Cybercrime reporting portal http://www.cybercrime.gov.in/ equipped with 24x7 helpline 1930 is a powerful resource available to the victims of cybercrimes to report their cases. 

Conclusion

Online dating can become the gush of winds for someone but it is very important to keep in mind that with the potential of falling in love, there comes a threat of being trapped and getting into cyber frauds or scams. So many cases are being reported, and the recent case also highlights that not everyone on online sites is genuine. So be aware of such scams and stay informed and safe in the evolving digital environment. 

References

• https://www.moneycontrol.com/news/trends/delhi-cafes-hiring-girls-to-scam-customers-says-bumble-user-conned-out-of-rs-15000-11724701.html
• https://www.ndtv.com/delhi-news/delhi-man-falls-victim-to-scam-as-bumble-date-costs-him-15-000-4566680/amp/1
• https://services.india.gov.in/service/detail/national-cyber-crime-reporting-portal#:~:text=This%20portal%20is%20an%20initiative,crimes%20against%20women%20and%20children.

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Introduction

The advent of Electronic Vehicles (EVs) represents a transformative leap towards a more sustainable and environmentally conscious transportation future by nations. However, as these vehicles become increasingly connected and reliant on advanced technological systems, a parallel concern emerges—data privacy. Integrating sophisticated technologies in EVs, such as GPS tracking, biometric authentication, and in-car connectivity, raises substantial questions about the collection, storage, and potential misuse of sensitive personal information. This intersection of automotive innovation and data privacy underscores the need for comprehensive solutions and regulatory frameworks to ensure that the benefits of electric vehicles are realised without compromising the privacy and security of their users.

Electronic vehicles primarily record three types of data;

1. Driving behaviour and patterns: The e-vehicle records braking and driving patterns, including acceleration, speed, and swerve. Some vehicles even track air conditioning usage and airbag deployment to determine the point of failure in the event of a crash.
2. Location data: The e-vehicles also track GPS systems to gauge the speed and direction of the vehicle.
3. EV functions and use of telematic services: Monitoring of EV functions includes battery use management, battery charging history, battery deterioration, electrical system functions and software version information.

Data Privacy requirements of companies

Companies manufacturing e-vehicles are saddled with several data privacy requirements as concerns about consumer safety. Data collected by e-vehicles may be sensitive in nature. Location tracking is a key issue that has garnered attention. The constant recording of a driver's whereabouts can lead to the creation of detailed profiles, raising questions about the potential misuse or unauthorised access to this sensitive information. The risk of surveillance, stalking, or even theft of valuable personal data is a genuine concern for EV owners.

Moreover, integrating smart features, such as voice recognition, biometric authentication, and in-car personal assistants, adds another layer of complexity. These features require the collection and processing of personal data. If not handled securely, they may become vulnerable to hacking or unauthorised access, leading to identity theft or other malicious activities. Additionally, Smart charging systems offer convenience by allowing remote monitoring and control of charging, but they also gather extensive data. The geographical data collected during charging may raise concerns about location privacy.

Striking a delicate balance between leveraging this data for enhancing vehicle performance and user experience while safeguarding the privacy of EV owners is paramount. Transparent privacy policies, secure data storage practices, and stringent encryption protocols are essential components of a comprehensive approach to data protection. If a company is eyeing the international market or utilising cloud-based software with decentralised global data storage, it must also navigate international privacy and data protection laws. A prime example is the General Data Protection Regulation (GDPR), a globally recognised and stringent data protection law applicable to both European-based companies and international entities providing goods, services, or monitoring activities of residents within Europe. 

Manufacturers of these vehicles are subjected to compliance with this comprehensive legal framework. Obligations on companies are levied by them being data fiduciaries; dual liability may also emanate since some data fiduciaries may also qualify as data processors. Special care must be taken when data is being transferred to third parties. 

Further, compliance with consumer safety laws is also an important consideration. In India, the Consumer Protection Act of 2019 safeguards the rights of consumers, holding manufacturers, sellers, and service providers responsible for any harm resulting from faulty or defective products. This extends the Act's coverage to include manufacturers and sellers of internet and technology-based products. When read with the Digital Personal Data Protection Act of 2023 (DPDP Act), the Consumer Protection Act of 2019 takes on additional significance. The DPDP Act, focusing on the security of an individual's digital personal data, introduces provisions such as mandatory consent, purpose limitation, data minimisation, obligatory security measures by organisations, data localisation, and enforcing accountability and compliance. These provisions apply to information generated by and for consumers, offering a comprehensive framework for protecting digital personal data.

Conclusion

The intersection of e-vehicles and data privacy necessitates a careful and comprehensive approach to ensure the coexistence of automotive innovation and user security. As electric vehicles record intricate data related to driving behaviour, location, and telematic services, companies manufacturing these vehicles must navigate a complex landscape of data privacy requirements. The potential risks associated with location tracking, smart features, and the extensive data collected during charging underscore the importance of transparent privacy policies, secure data storage practices, and stringent encryption protocols. Moreover, as companies expand globally, compliance with international privacy laws like the GDPR becomes imperative. Balancing the enhancement of vehicle performance and user experience with the safeguarding of privacy is paramount. Manufacturers, deemed as data fiduciaries, must exercise diligence, especially when transferring data to third parties. Additionally, adherence to consumer safety laws, such as the Consumer Protection Act of 2019, further emphasises the need for a holistic and vigilant approach to ensure the responsible use of data in the evolving landscape of e-vehicles.

References

• https://digitalcommons.law.scu.edu/cgi/viewcontent.cgi?article=1556&context=chtlj 
• https://cyberswitching.com/electric-car-charging-and-data-privacy/#:~:text=Smart%20charging%20systems%20provide%20convenience,in%20safeguarding%20EV%20user%20privacy

Introduction

Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.

What is voice cloning?

To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology. 

Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration

AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.

Technical Analysis

To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.

• Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
• Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
• Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
• Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
• Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.

Conclusion

It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks. 

References:

• https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
• https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
• https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
• https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724