AI Modern Day Lifeline: Prioritizing Convenience vs Concerns

Picture Courtesy: https://internationalfireandsafetyjournal.com/the-importance-of-collaboration-for-ai-adoption-safety

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Artificial Intelligence (AI) has transformed from a search engine to a foundation driving education, business objective and personal productivity, to count just a few.

There is a flip side of AI too.  AI brings along risks too. Privacy is the paramount of the AI concerns, but does not limit to that. AI is a double-sided sword. One side it helps you to transform life and other side privacy & security concerns are questioning the usage.

AI does it all: from workflows automation to market trend forecasting, customer experience automation infused with AI to helping learning experience, AI is redefining the ways of working and live.  Transforming the Lifesciences and Healthcare, Education, Transport Fleet Management, Customer Services, cybersecurity defense, hiring, and even supply chain optimization; can finish counting.  The use cases are countless and helping us in very single way for the betterment of our lives.

As an Individuals AI is in our everyday life. It is from virtual assistants like Siri and Alexa converting houses as smart house to Netflix's recommendation engines, Gmail's smart replies, and personal finance tools predicting spending habits.

Picture Courtesy: https://www.cnbctv18.com/technology/enterprises-ai-adoption-security-compliance-and-ethics-chief-ai-officer-19595189.htm

Let us learn about some of the very successful, however exploited AI use cases:

• Use case adoption 1:

A luxury car showroom deployed an AI-powered chatbot to streamline customer queries and even generate proforma invoices instantly.  As a result, the clients had seamless buying and query resolution, reducing paperwork and boosting customer satisfaction.

• Compromise: A hacker manipulated the chatbot’s prompt to alter pricing logic through prompt injection, tricking it into issuing an invoice for a car worth $60,000 at just $1.  An example of prompt injection

  • Loss: While the fraudulent sale didn’t go through to delivery, the brand suffered financial exposure, reputational embarrassment, and system downtime while patching the loophole.

  • Reference:

    • https://www.upworthy.com/prankster-tricks-a-gm-dealership-chatbot-to-sell-him-a-76000-chevy-tahoe-for-ex1

    • https://www.theautopian.com/chevy-dealers-ai-chatbot-allegedly-recommended-fords-gave-free-access-to-chatgpt/

    • https://cybernews.com/ai-news/chevrolet-dealership-chatbot-hack/

    • https://venturebeat.com/ai/a-chevy-for-1-car-dealer-chatbots-show-perils-of-ai-for-customer-service/

• Use case adoption 2:

A European energy company used AI-driven voice conferencing tools for remote coordination across borders, speeding up decision-making.

• Compromise: Hackers used AI deepfake voice technology to mimic the CEO’s accent and tone, calling the finance department to “urgently” transfer funds. An example of Voice Deepfake resulting into Social Engineering Fraud.

  • Loss: The company transferred $243,000 to the fraudster’s account, realizing the scam only days later.

  • Reference:

    • https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/

    • https://blog.avast.com/deepfake-voice-fraud-causes-243k-scam

    • https://news.sophos.com/en-us/2019/09/05/scammers-deepfake-ceos-voice-to-talk-underling-into-243000-transfer/  

• Use case adoption 3:

Fitness App used for Military Base. AI analysed running patterns globally and created “heat maps” showing popular fitness routes, meant to help users discover safe jogging paths.

• Compromise: Hackers discovered that the heatmaps revealed exact running routes of soldiers inside secret military bases, exposing the geolocations for the military troops to the adversaries. An example of breach of Personally Identifiable Information (PII)

  • Loss: This created a national security risk, as adversaries could map sensitive defense locations worldwide.

  • Reference:

    • “Deepfake fraudsters impersonate FTSE chief executives,” The Times [Reference via The Times, July 9, 2024; not publicly accessible]

• Use case adoption 4:

A major tech company built an AI recruiting tool to reduce human bias and speed up resume screening.

• Compromise: The AI, trained on past hiring data, “learned” that successful employees were mostly men, resulting which it systematically downgraded resumes mentioning “women’s colleges” or “female leadership.”  An example of Data Bias

  • Loss: The company had to scrap the tool, facing public backlash, reputational damage, and potential lawsuits for discriminatory practices.

  • Reference:

    • https://www.theguardian.com/technology/2018/oct/10/amazon-hiring-ai-gender-bias-recruiting-engine

    • https://www.cnbc.com/2018/10/10/amazon-scraps-a-secret-ai-recruiting-tool-that-showed-bias-against-women.html

    • https://www.axios.com/2018/10/10/amazon-ai-recruiter-favored-men

    • https://www.theverge.com/2018/10/10/17958784/ai-recruiting-tool-bias-amazon-report   

• Use case adoption 5:

Hospitals began using AI systems to detect cancerous tumors in MRI scans faster and more accurately than human doctors.

• Compromise: Hackers proved that slightly altering MRI images with malicious code could cause the AI to insert fake tumors or hide real ones.  An example of loss and alteration of Patient Health Information (PHI)

  • Loss: In real-world scenarios, this could lead to misdiagnosis, incorrect treatments, and life-threatening errors, as well as massive liability for healthcare providers.

  • Reference:

    • https://time.com/7094712/northwell-health-inav/

    • https://www.rsna.org/news/2025/july/ai-tool-accurately-detects-tumors-on-breast-mri

    • https://www.emjreviews.com/radiology/news/ai-enhances-breast-cancer-screening-by-identifying-high-risk-women-for-mri/

    • https://indianexpress.com/article/cities/mumbai/tata-cancer-hospital-artificial-intelligence-detection-scans-9097088/

• Use case adoption 6:

An e-commerce site deployed dynamic pricing AI to offer customers personalized discounts in real time to improve conversions.

• Compromise: Hackers reverse-engineered the algorithm and manipulated inputs, triggering the system to repeatedly issue 100% discount codes.

  • Loss: Dozens of high-value items were “sold” at zero cost before the platform shut down the exploit, causing inventory losses and financial damages.

  • Reference:

    • https://www.moneycontrol.com/technology/ai-transforms-retail-pricing-with-real-time-discounts-says-bcg-article-12982989.html

    • https://www.vox.com/technology/420940/delta-american-airlines-flight-discount-amazon

    • https://www.thesun.co.uk/money/35392264/boohoo-prettylittlething-ai-price-surge/

    • https://www.wsj.com/articles/lvmh-bets-on-ai-to-navigate-luxury-goods-slowdown-0438e328

Picture Courtesy: https://bfsi.economictimes.indiatimes.com/news/industry/ai-adoption-will-be-widespread-but-slow-in-risk-and-compliance-moodys/107915329  

Call to Action: Help Shape the Future of AI Responsibly

AI is no longer a choice; it's the new electricity fueling industries and individuals alike. But its adoption needs to come with awareness, responsibility, and proactive protection.  Every country and organizations are now waking up on the misuse of AI and have successfully launched initiatives like:

• India – INDIAai Portal (National AI Portal)

A central hub established in 2024 by MeitY, NASSCOM, and NIC to drive AI innovation, knowledge sharing, initiatives, and ecosystem development across India.  https://indiaai.gov.in/indiaaiportal

• India – IndiaAI Safety Institute

Launched in January 2025 under IndiaAI’s "Safe and Trusted" pillar, this institute fosters ethical AI development in India through multi-stakeholder collaboration. https://en.wikipedia.org/wiki/AI_Safety_Institute

• Google – Gemini for Government

A customized AI platform launched in August 2025 under the OneGov Strategy, offering U.S. federal agencies tools like NotebookLM, image/video generation, secure cloud access, and AI agents at a discounted rate. https://cloud.google.com/blog/topics/public-sector/introducing-gemini-for-government-supporting-the-us-governments-transformation-with-ai

• European Union – Artificial Intelligence Act (EU AI Act)

A pioneering regulatory framework implemented on 1 August 2024, classifying AI systems by risk and setting obligations—especially for high-risk and general-purpose models. https://commission.europa.eu/news/ai-act-enters-force-2024-08-01_en

• Global Partnership on Artificial Intelligence (GPAI)

An international initiative launched in 2020 (under the OECD) to guide the development and use of AI grounded in democratic values and human rights. https://gpai.ai

• United Nations – Global Digital Compact (GDC)

A UN-led framework (adopted at the Summit of the Future in September 2024) aimed at fostering responsible, inclusive digital technologies—including AI—globally. https://www.un.org/techenvoy/global-digital-compact

If you’re an organization leader, start by creating AI governance frameworks, investing in employee awareness, and ensuring compliance with regulations.

If you’re an individual user, use AI as an empowering tool — but guard your privacy, question outputs, and stay informed.

By doing so, we will be able to unleash the power of AI while safeguarding what truly counts: human judgment, privacy, and trust.

Step Next: Share in the comments — how is your

Picture Courtesy: https://www.cnbctv18.com/technology/enterprises-ai-adoption-security-compliance-and-ethics-chief-ai-officer-19595189.htm

Let us learn about some of the very successful, however, exploited AI use cases:

• Use case adoption 1:

A luxury car showroom deployed an AI-powered chatbot to streamline customer queries and even generate proforma invoices instantly.  As a result, the clients had seamless buying and query resolution, reducing paperwork and boosting customer satisfaction.

• Compromise: A hacker manipulated the chatbot’s prompt to alter pricing logic through prompt injection, tricking it into issuing an invoice for a car worth $60,000 at just $1.  An example of prompt injection

  • Loss: While the fraudulent sale didn’t go through to delivery, the brand suffered financial exposure, reputational embarrassment, and system downtime while patching the loophole.

  • Reference:

    • https://www.upworthy.com/prankster-tricks-a-gm-dealership-chatbot-to-sell-him-a-76000-chevy-tahoe-for-ex1

    • https://www.theautopian.com/chevy-dealers-ai-chatbot-allegedly-recommended-fords-gave-free-access-to-chatgpt/

    • https://cybernews.com/ai-news/chevrolet-dealership-chatbot-hack/

    • https://venturebeat.com/ai/a-chevy-for-1-car-dealer-chatbots-show-perils-of-ai-for-customer-service/

      
      

• Use case adoption 2:

• A European energy company used AI-driven voice conferencing tools for remote coordination across borders, speeding up decision-making.

  • Compromise: Hackers used AI deepfake voice technology to mimic the CEO’s accent and tone, calling the finance department to “urgently” transfer funds. An example of Voice Deepfake resulting into Social Engineering Fraud.

    • Loss: The company transferred $243,000 to the fraudster’s account, realizing the scam only days later.

    • Reference:

      • https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/

      • https://blog.avast.com/deepfake-voice-fraud-causes-243k-scam

      • https://news.sophos.com/en-us/2019/09/05/scammers-deepfake-ceos-voice-to-talk-underling-into-243000-transfer/  

        
        

• Use case adoption 3:

  Fitness App used for Military Base. AI analysed running patterns globally and created “heat maps” showing popular fitness routes, meant to help users discover safe jogging paths.

  • Compromise: Hackers discovered that the heatmaps revealed exact running routes of soldiers inside secret military bases, exposing the geolocations for the military troops to the adversaries. An example of breach of Personally Identifiable Information (PII)

    • Loss: This created a national security risk, as adversaries could map sensitive defense locations worldwide.

    • Reference:

      • “Deepfake fraudsters impersonate FTSE chief executives,” The Times [Reference via The Times, July 9, 2024; not publicly accessible]

        
        

• Use case adoption 4:

  A major tech company built an AI recruiting tool to reduce human bias and speed up resume screening.

  • Compromise: The AI, trained on past hiring data, “learned” that successful employees were mostly men, resulting which it systematically downgraded resumes mentioning “women’s colleges” or “female leadership.”  An example of Data Bias

    • Loss: The company had to scrap the tool, facing public backlash, reputational damage, and potential lawsuits for discriminatory practices.

    • Reference:

      • https://www.theguardian.com/technology/2018/oct/10/amazon-hiring-ai-gender-bias-recruiting-engine

      • https://www.cnbc.com/2018/10/10/amazon-scraps-a-secret-ai-recruiting-tool-that-showed-bias-against-women.html

      • https://www.axios.com/2018/10/10/amazon-ai-recruiter-favored-men

      • https://www.theverge.com/2018/10/10/17958784/ai-recruiting-tool-bias-amazon-report   

        
        

• Use case adoption 5:

  Hospitals began using AI systems to detect cancerous tumors in MRI scans faster and more accurately than human doctors.

  • Compromise: Hackers proved that slightly altering MRI images with malicious code could cause the AI to insert fake tumors or hide real ones.  An example of loss and alteration of Patient Health Information (PHI)

    • Loss: In real-world scenarios, this could lead to misdiagnosis, incorrect treatments, and life-threatening errors, as well as massive liability for healthcare providers.

    • Reference:

      • https://time.com/7094712/northwell-health-inav/

      • https://www.rsna.org/news/2025/july/ai-tool-accurately-detects-tumors-on-breast-mri

      • https://www.emjreviews.com/radiology/news/ai-enhances-breast-cancer-screening-by-identifying-high-risk-women-for-mri/

      • https://indianexpress.com/article/cities/mumbai/tata-cancer-hospital-artificial-intelligence-detection-scans-9097088/

        
        

• Use case adoption 6:

  
  

  

  An e-commerce site deployed dynamic pricing AI to offer customers personalized discounts in real time to improve conversions.

  • Compromise: Hackers reverse-engineered the algorithm and manipulated inputs, triggering the system to repeatedly issue 100% discount codes.

    • Loss: Dozens of high-value items were “sold” at zero cost before the platform shut down the exploit, causing inventory losses and financial damages.

    • Reference:

      • https://www.moneycontrol.com/technology/ai-transforms-retail-pricing-with-real-time-discounts-says-bcg-article-12982989.html

      • https://www.vox.com/technology/420940/delta-american-airlines-flight-discount-amazon

      • https://www.thesun.co.uk/money/35392264/boohoo-prettylittlething-ai-price-surge/

      • https://www.wsj.com/articles/lvmh-bets-on-ai-to-navigate-luxury-goods-slowdown-0438e328

• 
  

Precautions for Organizations	Precautions for Individuals
Adopt AI Governance Frameworks like NIST AI Risk Management Framework, MITRE AI, ISO 42001	Never share personal or financial details (passwords, Aadhaar, PAN, bank info) with AI tools.
Define AI adoption objectives and success criteria	Double-check AI answers before acting on legal, health, or financial advice.
Conduct AI Impact assessment for each function, role, environment, society, etc.	Beware of deepfakes & scams – always verify voices, videos, or messages before trusting.
Enact policies that spell out acceptable AI use.	Use only trusted platforms/apps – avoid shady or unknown AI websites.
Create cross-functional AI ethics boards.	Enable strong passwords & 2FA on accounts linked to AI apps.
Anonymize personal information where feasible	Limit oversharing online – AI can be used to profile or scam you.
Comply with privacy regulations/acts like GDPR, HIPAA, EU AI Act or local data protection legislation	Mute smart devices (Alexa, Google Home, etc.) when not in use.
Opt for vendors providing "explainable AI" to ensure accountability	Don’t fully rely on AI decisions – always apply your own judgment.
Assess AI vendors for data transparency in how they deal with	Keep software updated – security patches protect against AI-driven attacks.
Clearly defined use cases	Be transparent when using AI for study or work – avoid plagiarism or misrepresentation.
AI Training, data bias and data poisoning	Avoid uploading sensitive documents (contracts, medical reports, ID scans) to free AI tools.
Data integration	Be cautious of AI-generated emails/messages – if it sounds urgent or too good to be true, verify first.
Continuous monitoring	Don’t click on unknown AI-suggested links without checking the source.
Incident response and reporting	Teach family members (kids, elderly) how to recognize AI-driven scams.
Training and restrictions on the usage of AI by employees	Use AI to assist, not replace thinking – build your own skills alongside AI support.
AI application whitelisting	Check permissions before granting AI apps access to your phone, mic, or location.
Man in the loop	Be alert to AI impersonation (fake customer care, fake job offers, fake investment tips).
Teach family members (kids, elderly) how to recognize AI-driven scams.

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• Call to Action: Help Shape the Future of AI Responsibly

  AI is no longer a choice; it's the new electricity fueling industries and individuals alike. But its adoption needs to come with awareness, responsibility, and proactive protection.  Every country and organizations are now waking up on the misuse of AI and have successfully launched initiatives like:

  
  

  • India – INDIAai Portal (National AI Portal)

  A central hub established in 2024 by MeitY, NASSCOM, and NIC to drive AI innovation, knowledge sharing, initiatives, and ecosystem development across India.  https://indiaai.gov.in/indiaaiportal

  
  

  • India – IndiaAI Safety Institute

  Launched in January 2025 under IndiaAI’s "Safe and Trusted" pillar, this institute fosters ethical AI development in India through multi-stakeholder collaboration. https://en.wikipedia.org/wiki/AI_Safety_Institute

  
  

  • Google – Gemini for Government

  A customized AI platform launched in August 2025 under the OneGov Strategy, offering U.S. federal agencies tools like NotebookLM, image/video generation, secure cloud access, and AI agents at a discounted rate. https://cloud.google.com/blog/topics/public-sector/introducing-gemini-for-government-supporting-the-us-governments-transformation-with-ai

  
  

  • European Union – Artificial Intelligence Act (EU AI Act)

  A pioneering regulatory framework implemented on 1 August 2024, classifying AI systems by risk and setting obligations—especially for high-risk and general-purpose models. https://commission.europa.eu/news/ai-act-enters-force-2024-08-01_en

  
  

  • Global Partnership on Artificial Intelligence (GPAI)

  An international initiative launched in 2020 (under the OECD) to guide the development and use of AI grounded in democratic values and human rights. https://gpai.ai

  
  

  • United Nations – Global Digital Compact (GDC)

  A UN-led framework (adopted at the Summit of the Future in September 2024) aimed at fostering responsible, inclusive digital technologies—including AI—globally. https://www.un.org/techenvoy/global-digital-compact

  If you’re an organization leader, start by creating AI governance frameworks, investing in employee awareness, and ensuring compliance with regulations.

  If you’re an individual user, use AI as an empowering tool — but guard your privacy, question outputs, and stay informed.

  
  

  By doing so, we will be able to unleash the power of AI while safeguarding what truly counts: human judgment, privacy, and trust.

  
  

  Step Next: Share in the comments — how is your personal or organizational life already leveraging AI, and what safeguards have you put in place?

  
  

  Your feedback might assist someone else in navigating the AI path more securely.