#FactCheck - Digitally Altered Image Falsely Shows World Bank President Ajay Banga Holding Khalistani Flag

Introduction

Emerging technologies in the digital era have made their inroads in manifold domains and locations, including the “Aviation industry”. A 2022 Cranfield University and Inmarsat report has made the point for digitalization powering a reviving age for the aviation industry. Several airport authorities are presently mobilizing power of emerging technologies such as Artificial Intelligence (AI) across the airport bedrock to provide travelers with a plain sailing and expeditious air travel experience.

The Perils of Juice-Jacking

Today, Universal Serial Bus (USB) charging ports are ubiquitous and a convenient way for travelers to keep their devices powered up. In their busy, mundane lives, people use the public charging facility while travelling. However, cybersecurity experts have warned that charging in public areas could wipe off data from an electronic device or install malware, and they have urged people to stay away from USB charging ports at airports and other public areas. This leads to the possibility that fraudsters may manipulate susceptible users via juice jacking.

Investigative journalist Brian Krebs in 2011 coined the term "Juice Jacking". It isa form of cyber attack where a public USB charging port is fiddled with and infected using hardware and software changes to pocket data or install malware on devices connected to it. The term “juice jacking” is a slang representation for electric power or energy, and “hijacking” indicates an unauthorized key toa device.

While the preliminary purpose of juice jacking is usually to pilfer sensitive information from corresponding devices, such as passwords and payment card details, attackers can exploit this stolen information to attain unauthorized to your financial accounts. If the adversary attacker installs malware in the electronic device during the juice jacking strategy, the attacker may further observe the individual's movements even after one has disconnected the device from the USB port. However, the hazards of Juice Jacking include malware infection, data heist, economic loss and damage to the reputation of an individual.

RedFlags from Agencies

In2023, the Federal Bureau of Investigation (FBI) forewarned travelers against using charging stations in public zones such as hotels, airports, and shopping malls due to malicious actors attempting to use the public USB to introduce monitoring software and malware into devices. The U.S. Federal Communications Commission (FCC) has also administered a new advisory regarding “juice jacking "and its possibility of launching a hushed cyber attack against a mobile gadget while one is charging the phone with a USB cord. Similarly, according to new research from International Business Machines (IBM) Security, many nation-state hackers are currently training their eyes on travelers.

RBI Advisory

Recently in 2024, The Reserve Bank of India (RBI) has likewise administered a warning statement to mobile phone users urging them against charging their devices using public ports. RBI has additionally accentuated the importance of safeguarding private and financial data while using mobile devices. Juice jacking is further cited as one of the scams in the RBI booklet on the modus operandi of financial fraudsters in the financial space.

Preventing juice jacking attacks

The routes to avoid Juice Jacking are to keep a tab on the USB devices, not use the public charging ports, update the phone software regularly, enable and utilize the software security measures of the device, use a USB pass-through device, a wall outlet, or a backup battery; never use unknown charging cables and use only the trusted security apps. It is further important to avoid using cables that are left behind by other travelers in any public space. Users can correspondingly turn off their devices before connecting to a wary charging port. Nevertheless, the absence of documented cases does not necessarily imply that users cannot be a target of such an attack and a warning is still recommended when securing personal gadgets with susceptible user data while using standard cables. Also, using a virtual private network (VPN) and assuring that devices have the updated security updates established can aid in mitigating the danger of cyber attacks. It is equally important to utilize the security features of your device, such as passcodes, fingerprints, or facial recognition, enabled to count as a supplementary layer of safeguard.

Conclusion

In the contemporary digital age, individuals, on the whole, need to be vigilant about “Cybersecurity hygiene” and avoid accessing susceptible data or conducting financial transactions on unsecured networks. Mobile phones or devices should run on the latest operating system, and antivirus software should be revamped to mitigate conceivable security susceptibilities.

References

• https://www.forbes.com/sites/suzannerowankelleher/2023/04/20/juice-jacking-malware-phone-airports-hotels/?sh=47adab7e82ed
• https://www.businessairportinternational.com/features/how-ai-is-improving-business-aviation-operations.html
• https://www.news18.com/business/juice-jacking-attack-scam-bank-frauds-india-8412037.html
• https://www.comparitech.com/blog/information-security/juice-jacking/
• https://blogs.blackberry.com/en/2023/04/juice-jacking-advisory
• https://www.thehindubusinessline.com/info-tech/juice-jacking-rbi-issues-warning-against-charging-mobile-phones-using-public-ports/article67895091.ece
• https://www.thehindu.com/sci-tech/technology/juice-jacking-how-hackers-target-smartphones-tethered-to-public-charging-points/article67026433.ece
• https://www.forbes.com/sites/suzannerowankelleher/2019/05/21/why-you-should-never-use-airport-usb-charging-stations/?sh=630f026a5955
• https://edition.cnn.com/2023/04/12/tech/fbi-public-charging-port-warning/index.html
• https://social-innovation.hitachi/en-in/knowledge-hub/hitachi-voice/digital-transformation/
• https://www.inmarsat.com/en/insights/aviation/2022/future-aviation-connectivity.html

Introduction

Search engines have become indispensable in our daily lives, allowing us to find information instantly by entering keywords or phrases. Using the prompt "search Google or type a URL" reflects just how seamless this journey to knowledge has become. With millions of searches conducted every second, and Google handling over 6.3 million searches per minute as of 2023 (Statista), one critical question arises: do search engines prioritise results based on user preferences and past behaviours, or are they truly unbiased?

Understanding AI Bias in Search Algorithms

AI bias is also known as machine learning bias or algorithm bias. It refers to the occurrence of biased results due to human biases that deviate from the original training data or AI algorithm which leads to distortion of outputs and creation of potentially harmful outcomes. The sources of this bias are algorithmic bias, data bias and interpretation bias which emerge from user history, geographical data, and even broader societal biases in training data. 

Common biases include excluding certain groups of people from opportunities because of AI bias. In healthcare, underrepresenting data of women or minority groups can skew predictive AI algorithms. While AI helps streamline the automation of resume scanning during a search to help identify ideal candidates, the information requested and answers screened out can result in biased outcomes due to a biased dataset or any other bias in the input data.

Case in Point: Google’s "Helpful" Results and Its Impact 

Google optimises results by analysing user interactions to determine satisfaction with specific types of content. This data-driven approach forms ‘filter bubbles’ by repeatedly displaying content that aligns with a user’s preferences, regardless of factual accuracy. While this can create a more personalised experience, it risks confining users to a limited view, excluding diverse perspectives or alternative viewpoints.

The personal and societal impacts of such biases are significant. At an individual level, filter bubbles can influence decision-making, perceptions, and even mental health. On a societal level, these biases can reinforce stereotypes, polarise opinions, and shape collective narratives. There is also a growing concern that these biases may promote misinformation or limit users’ exposure to diverse perspectives, all stemming from the inherent bias in search algorithms.

Policy Challenges and Regulatory Measures

Regulating emerging technologies like AI, especially in search engine algorithms, presents significant challenges due to their intricate, proprietary nature. Traditional regulatory frameworks struggle to keep up with them as existing laws were not designed to address the nuances of algorithm-driven platforms. Regulatory bodies are pushing for transparency and accountability in AI-powered search algorithms to counter biases and ensure fairness globally. For example, the EU’s Artificial Intelligence Act aims to establish a regulatory framework that will categorise AI systems based on risk and enforces strict standards for transparency, accountability, and fairness, especially for high-risk AI applications, which may include search engines. India has proposed the Digital India Act in 2023 which will define and regulate High-risk AI. 

Efforts include ethical guidelines emphasising fairness, accountability, and transparency in information prioritisation. However, a complex regulatory landscape could hinder market entrants, highlighting the need for adaptable, balanced frameworks that protect user interests without stifling innovation.

CyberPeace Insights

In a world where search engines are gateways to knowledge, ensuring unbiased, accurate, and diverse information access is crucial. True objectivity remains elusive as AI-driven algorithms tend to personalise results based on user preferences and past behaviour, often creating a biased view of the web. Filter bubbles, which reinforce individual perspectives, can obscure factual accuracy and limit exposure to diverse viewpoints. Addressing this bias requires efforts from both users and companies. Users should diversify sources and verify information, while companies should enhance transparency and regularly audit algorithms for biases. Together, these actions can promote a more equitable, accurate, and unbiased search experience for all users. 

References 

• https://www.bbc.com/future/article/20241101-how-online-photos-and-videos-alter-the-way-you-think 
• https://www.bbc.com/future/article/20241031-how-google-tells-you-what-you-want-to-hear
• https://www.ibm.com/topics/ai-bias#:~:text=In%20healthcare%2C%20underrepresenting%20data%20of,can%20skew%20predictive%20AI%20algorithms

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Introduction

Empowering today’s youth with the right skills is more crucial than ever in a rapidly evolving digital world. Every year on July 15th, the United Nations marks World Youth Skills Day to emphasise the critical role of skills development in preparing young people for meaningful work and resilient futures. As AI transforms industries and societies, equipping young minds with digital and AI skills is key to fostering security, adaptability, and growth in the years ahead.

Why AI Upskilling is Crucial in Modern Cyber Defence

Security in the digital age remains a complex challenge, regardless of the presence of Artificial Intelligence (AI). It is one of the biggest modern ironies, and not only that, it is a paradox wrapped in code, where the cure and the curse are written in the same language. The very hand that protects the world from cyber threats can very well be used for the creation of that threat. This being said, the modern-day implementation of AI has to circumvent the threats posed by it or any other advanced technology. A solid grasp of AI and machine learning mechanisms is no longer optional; it is fundamental for modern cybersecurity. The traditional cybersecurity training programs employ static content, which can often become outdated and inadequate for the vulnerabilities. AI-powered solutions, such as intrusion detection systems and next-generation firewalls, use behavioural analysis instead of just matching signatures. AI models are susceptible, nevertheless, as malevolent actors can introduce hostile inputs or tainted data to trick computers into incorrect classification. Data poisoning is a major threat to AI defences, according to Cisco's evidence.

As threats surpass the current understanding of cybersecurity professionals, a need arises to upskill them in advanced AI technologies so that they can fortify the security of current systems. Two of the most important skills for professionals would be AI/ML Model Auditing and Data Science. Skilled data scientists can sift through vast logs, from pocket captures to user profiles, to detect anomalies, assess vulnerabilities, and anticipate attacks. A news report from Business Insider puts it correctly: ‘It takes a good-guy AI to fight a bad-guy AI.’ The technology of generative AI is quite new. As a result, it poses fresh security issues and faces security risks like data exfiltration and prompt injections. 

Another method that can prove effective is Natural Language Processing (NLP), which helps machines process this unstructured data, enabling automated spam detection, sentiment analysis, and threat context extraction. Security teams skilled in NLP can deploy systems that flag suspicious email patterns, detect malicious content in code reviews, and monitor internal networks for insider threats, all at speeds and scales humans cannot match. 

The AI skills, as aforementioned, are not only for courtesy’s sake; they have become essential in the current landscape. India is not far behind in this mission; it is committed, along with its western counterparts, to employ the emerging technologies in its larger goal of advancement. With quiet confidence, India takes pride in its remarkable capacity to nurture exceptional talent in science and technology, with Indian minds making significant contributions across global arenas.

AI Upskilling in India

As per a news report of March 2025, Jayant Chaudhary, Minister of State, Ministry of Skill Development & Entrepreneurship, highlighted that various schemes under the Skill India Programme (SIP) guarantee greater integration of emerging technologies, such as artificial intelligence (AI), cybersecurity, blockchain, and cloud computing, to meet industry demands. The SIP’s parliamentary brochure states that more than 6.15 million recipients have received training as of December 2024. Other schemes that facilitate educating and training professionals, such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer are,

• Pradhan Mantri Kaushal Vikas Yojana 4.0 (PMKVY 4.0)
• Pradhan Mantri National Apprenticeship Promotion Scheme (PM-NAPS)
• Jan Shikshan Sansthan (JSS)

Another report showcases how Indian companies, or companies with their offices in India such as Ernst & Young (EY), are recognising the potential of the Indian workforce and yet their deficiencies in emerging technologies and leading the way by internal upskilling and establishing an AI Academy, a new program designed to assist businesses in providing their employees with essential AI capabilities, in response to the increasing need for AI expertise. Using more than 200 real-world AI use cases, the program offers interactive, organised learning opportunities that cover everything from basic ideas to sophisticated generative AI capabilities. 

In order to better understand the need for these initiatives, a reference is significant to a report backed by Google.org and the Asian Development Bank; India appears to be at a turning point in the global use of AI. As per the research, “AI for All: Building an AI-Ready Workforce in Asia-Pacific,” India urgently needs to provide accessible and efficient AI upskilling despite having the largest workforce in the world. According to the paper, by 2030, AI could boost the Asia-Pacific region’s GDP by up to USD 3 trillion. The key to this potential is India, a country with the youngest and fastest-growing population.

Conclusion and CyberPeace Resolution

As the world stands at the crossroads of innovation and insecurity, India finds itself uniquely poised, with its vast young population and growing technologies. But to truly safeguard its digital future and harness the promise of AI, the country must think beyond flagship schemes. Imagine classrooms where students learn not just to code but to question algorithms, workplaces where AI training is as routine as onboarding. 

India’s journey towards digital resilience is not just about mastering technology but about cultivating curiosity, responsibility, and trust. CyberPeace is committed to this future and is resolute in this collective pursuit of an ethically secure digital world. CyberPeace resolves to be an active catalyst in AI upskilling across India. We commit to launching specialised training modules on AI, cybersecurity, and digital ethics tailored for students and professionals. It seeks to close the AI literacy gap and develop a workforce that is both morally aware and technologically proficient by working with educational institutions, skilling initiatives, and industry stakeholders. 

References

1. https://www.helpnetsecurity.com/2025/03/07/ai-gamified-simulations-cybersecurity/ 
2. https://www.businessinsider.com/artificial-intelligence-cybersecurity-large-language-model-threats-solutions-2025-5?utm
3. https://apacnewsnetwork.com/2025/03/ai-5g-skills-boost-skill-india-targets-industry-demands-over-6-15-million-beneficiaries-trained-till-2024/ ‍
4. https://indianexpress.com/article/technology/artificial-intelligence/india-must-upskill-fast-to-keep-up-with-ai-jobs-says-new-report-10107821/