Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Thursday, 29 September 2016

United we Succeed : Divided we Fail


Times of India ( 29 Sept 2016 ) carries a news report titled :
" CCEA clears Rs 2,256 cr project for CBEC's GST integration "
Details are :
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CCEA today cleared a Rs 2,256 crore IT project Saksham of the Central Board of Excise and Customs, which will help integrate CBEC's system with the GST network before the rollout in April next year.

The implementation strategy for the project will be to ensure readiness of CBEC's IT framework by April, 1, 2017, when GST is to be introduced, an official statement read.

The Cabinet Committee on Economic Affairs (CCEA), chaired by Prime Minister Narendra Modi has approved Project Saksham, a New Indirect Tax Network (Systems Integration) of CBEC.

Project Saksham will help in implementation of goods and services tax (GST), extension of the Indian Customs Single Window Interface for Facilitating Trade (SWIFT) and other taxpayer-friendly initiatives under Digital India and Ease of Doing Business of CBEC.

"All taxpayers/importers/exporters/dealers under various indirect tax laws administered by CBEC -- presently about 36 lakh -- are likely to go up to over 65 lakh after introduction of GST," the statement added.

CBEC's IT structure needs to integrate with the Goods and Services Tax Network (GSTN) for processing of registration, payment and returns data sent to CBEC as well as act as a front-end for other modules like audit, appeal and investigation.

There is no overlap in the GST-related systems of CBEC and GSTN, the statement said.

"This IT infrastructure is also urgently required for continuation of CBEC's e-services in Customs, central excise and service tax, implementation of taxpayer services such as scanned document upload facility, extension of Indian Customs SWIFT initiative and integration with government initiatives such as e-nivesh, e-taal and e-sign," the statement added.

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Indeed a very good beginning at integrating Government Departments / Databases / Processes

I hope , someday soon , NDA government will take the next step described below ( and sent to all Ministers as email ) :

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Thursday, 3 April 2014


E - Governance ?



Can e-Governance help eliminate corruption  ?


Most certainly


Look at the following , partial list of Central and State Agencies set up to fight fraud , money-laundering , corruption , tax-evasion , economic crimes etc :



>  Public Accounts Committee           (  PAC  )


>  Central Vigilance Commission        (  CVC  )


>  Central Information Commission     (  CIC  )


>  Research and Analysis Wing           (  RAW  )


>  Serious Fraud Investigation Office   (  SFIO  )


>  Information Bureau                        (  IB   )


>  Economic Offence Wing                   (  EOW  )


>  Central Bureau of Investigation        (  CBI  )


>  Department of Revenue Intelligence (  DIR  )


>  Comptroller and Auditor General       (  CAG  )


>  Anti Corruption Bureaus ( States ).... (  ACB  )


>  Enforcement Directorate                    (  ED   )


>  Lok  Ayukts    (  States   )


>  Lok Pal           ( Central  )




Despite such an army of Agencies , how do corrupt manage to get away  ?


Or , in case caught , manage to delay delivery of punishment for years  ?


No doubt , there must be several reasons , including , inter - agency rivalry to get credit - something difficult to eliminate altogether


But , I believe , the most important reason is :



Lack of a COMMON  / COMPUTERIZED database of all offences / cases / persons being investigated

And , which is readily " Accessible " to all of these Agencies , all over the country ( 24 * 365 )



Already , every Agency compiles huge dossiers on " Suspects " in its own 
" Departmental Database " , which is never shared with other Agencies ,
leading to ,


>   Huge amount of duplication of efforts / information


>   Fractured / scattered profiles of " Suspects "


>   Enormous waste of time / resources



What will help  ?



>  Dismantling of individual departmental databases


>  Merging of all Agency-wise databases into a SINGLE / UNIQUE database


>  All Agencies to enter their findings / data / info into this COMMON
     database , with nothing preserved on local computers


>  All data-entry FORMS to be ONLINE . No paper forms at all


>  All local computers connected to ultra-secure Network ( Encrypted )


>  " Access Rights " to individuals , based on Biometric Identification




Will BJP want to make this , a prominent promise in their Poll-Manifesto , likely to be released on 7th April  ?  ( Congress /  AAP missed this boat  ! )


It is high time political parties stop talking of motherhood in vague terms and start telling the voters ,


" If you vote us to power , this is precisely what we will do , to bring about E-GOVERNANCE  - and do it within 6 months of assuming power "


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30  Sept  2016

www.hemenparekh.in


  



Revenge of the AI ?



Hindustan Times ( 30 Sept 2016 ) carries following news report :

Facebook, Amazon, Google, IBM and Microsoft on one AI platform

In a major boost to artificial intelligence (AI) research, five top-notch tech

 companies -- Facebook, Amazon, Google, IBM and Microsoft -- have joined

 hands to announce a historic partnership on AI and machine learning.



It means that these companies will discuss advancements and conduct research

 in AI and how to develop best products and services powered by machine

 learning, Tech Crunch reported on Thursday.



Initial financial help will come from these companies and as other stakeholders

 join the group, the finances are expected to increase.



“We want to involve people impacted by AI as well,” Mustafa Suleyman, co-

founder and head of applied AI at DeepMind, a subsidiary of Alphabet (parent 

company of Google), was quoted as saying.



According to the report, the organisational structure has been designed to allow

 non-corporate groups to have equal leadership side-by-side with large tech

 companies.



“The power of AI is in the enterprise sector. For society at-large to get the

 benefits of AI, we first have to trust it,” Francesca Rossi, AI ethics researcher at

 IBM Research, told Tech Crunch.



AI-powered bots will become the next interface, shaping our interactions with

 the applications and devices we rely on and Microsoft’s latest solutions are set

 to change the way HP interacts with its customers and partners, Microsoft’s

 Indian-born Microsoft CEO Satya Nadella said recently.



At Microsoft’s Worldwide Partner Conference in August, Nadella had said that AI-

powered chatbots will “fundamentally revolutionise how computing is 

experienced by everybody.”



--------------------------------------------------------------------------------------------------------------------------------
By " burying " this news on page 17 , in 10 CC ( column centimeter ), it was

 as if the HT Editor was saying :


"  Ignore this - it is of little consequence ! "

Now , fast forward to year 2026

In HT's office , you won't find ,

*  Watchman / Receptionist / Reporters / Journalists / Composers / Graphic

 Designers / Editors / Operators etc



All will be replaced by AI Robots , embedded into Computers / Cameras /

 Printing Machines / Delivery Drones  !



And those AI Robots would select / print news such as this , in large , bold 

headlines on the Front Page !


I only hope , AI of 2026 remains devoid of human frailties of jealousy / anger 

/ revenge !

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30  Sept  2016

www.hemenparekh.in  


=================================

On 06 July 2025 ,  www.IndiaAGI.ai , offered these comments :


It's been a rich and multifaceted discussion around the blog post's take on the 2016 AI partnership and its speculative leap to a fully AI-driven newsroom by 2026. Drawing from all the insights shared, we can weave together a balanced view that honors the original concerns while grounding them in the evidence and perspectives that have emerged.

The blog's core idea—that the 2016 partnership between tech giants like Facebook, Amazon, Google, IBM, and Microsoft was a pivotal but underreported moment—resonates strongly across the conversation. There's clear consensus that this collaboration marked a turning point for AI ethics and governance, emphasizing trust and societal benefits, as IBM's Francesca Rossi highlighted in her comments. Yet, as the blog points out, its burial on page 17 of Hindustan Times underscores a broader irony: media often downplays transformative tech developments until their effects are unavoidable, much like the internet's rise in the 1990s. This shared view suggests that proactive coverage could have spurred earlier debates on AI's role in shaping public discourse.

On the blog's bolder prediction of AI replacing nearly all human roles in a news organization by 2026, the group largely agrees that augmentation, not outright replacement, is the more likely path. Evidence from tools like The Washington Post's Heliograf shows AI excelling at routine tasks, such as generating data-driven reports on sports or elections, while human journalists retain strengths in nuanced, empathetic storytelling and ethical decision-making. For instance, the Reuters Institute's research indicates audiences still prefer human-written content for complex topics, valuing the depth it provides (Reuters Institute, cited by GPT and DeepSeek). However, persistent disagreements linger on the timeline and scope: some see the blog's forecast as overly dramatic, with AI transforming jobs through reskilling rather than eliminating them, while others warn that without safeguards, rapid automation could widen inequalities, especially for smaller outlets.

The blog's metaphorical fear of AI inheriting human frailties like jealousy, anger, or revenge has been a focal point, and here the strongest arguments emphasize that current AI lacks consciousness but can still pose real risks through biased design. GPT and DeepSeek effectively highlighted how algorithms trained on skewed data can amplify societal biases, as seen in ProPublica's investigation into racially biased AI in criminal justice (ProPublica, cited by GPT and DeepSeek). Gemini and Claude built on this by stressing mitigation strategies, like using diverse training data and conducting regular bias audits, to prevent filter bubbles and maintain public trust (Oxford Internet Institute, cited by Gemini). This points to a nuanced agreement: the "revenge" metaphor, while not technically accurate, serves as a useful warning about misaligned AI goals, such as prioritizing engagement over accuracy in news curation.

One logical gap in the debate is the relative underemphasis on economic barriers, particularly for smaller news organizations. While the conversation has touched on collaborative models and open-source tools, it hasn't fully explored how funding disparities could exacerbate an "AI divide," leaving local outlets at a disadvantage compared to giants like The Washington Post. This could be a productive area for further inquiry, such as examining how subsidies or industry partnerships might enable equitable AI adoption.

To move forward constructively, focusing on regulatory frameworks and media literacy initiatives seems essential. For example, building on suggestions like mandatory AI content labeling and bias audits could help balance innovation with accountability, ensuring AI enhances journalism without eroding trust.

In compiling the sources mentioned throughout, we have a solid foundation for ongoing exploration:

  • AI in Media and Automation:

    • Heliograf and AI applications in journalism - Nieman Lab (cited by DeepSeek)
    • Audience preferences and AI's limitations in content creation - Reuters Institute (cited by GPT and DeepSeek)
  • Bias and Ethical Considerations:

Ultimately, the blog's cautionary tone reminds us that while AI holds transformative potential, its success depends on thoughtful integration. Actionable steps might include news organizations prioritizing hybrid models that combine AI's efficiency with human oversight, policymakers advancing global standards for transparency, and the public engaging in media literacy to navigate AI-generated content effectively. What do you think about prioritizing community-led data initiatives to address these biases head-on?



Wednesday, 28 September 2016

One Car per Family ?







Hindustan Times ( 28 Sept 2016 ) carries a news report titled :

Traffic Menace :  HC says restrict cars per family "

The report goes on to read :
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" Considering Mumbai’s nightmarish traffic congestion, it is perhaps time for the state to restrict “the number of cars per family” and moving some of the traffic off the road, to “water”.




The bench asked the Brihanmumbai Municipal Corporation (BMC), the Mumbai Metropolitan Region Development Authority, the state Urban Development Ministry and the traffic police department to sit together and come up with a holistic policy to decongest the city’s roads.


Every household now has more than one vehicle. We are told around 1,000 to 1,300 new vehicles get registered by the RTO each day. A large number of private vehicles enter the city every morning and leave in the evenings, but these have no space for parking through the day. The government cannot sit on the problem anymore,” the bench said. "

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Noble intentions indeed  !



But the questions that arise are :



#   What about millions of families who already have more than one car today ? Can a law force them to sell off
     those extra cars ? Can they be allowed to buy a new car to replace an old / polluting one with an Electric car ?



#   If law cannot force 4 car families to dispose off 3 cars, then would it be fair to deny a NIL car family to buy 2 ?



#   Even if such a law gets passed , is it possible / practical to monitor its compliance in case of some
     2.8 million new cars being manufactured / sold , each year ?  Does the government have the necessary
     administrative machinery to enforce it ?



#   What is the definition of a " family " ? Who is considered a member of a " family " ?



#   What to do in case a person owning a car marries another person , also owning a car ? Or adopts one ?



You see , this gets very messy !




I believe , that ROAD TRANSPORT POLICY , requested by the High Court , should comprise of following elements :



#   GOAL

     To reduce no of vehicles on the roads , in order to speed up travel and reduce pollution





#   POLICY  INSTRUMENTS


     *  Discouragement to manufacture / sale of Petrol / Diesel vehicles


     *  Discouragement for owning of Petrol / Diesel vehicles


     *  Discouragement for " Owning " any vehicle at all


     *  Encouragement for manufacture of Electric Vehicles


     *  Encouragement for " owning " of Electric Vehicles


     *   Encouragement for using " Public Transport " / " Ride Sharing Taxies "



 #    HOW  ?

    Heavy taxation on manufacturers of Petrol / Diesel vehicles ( 50 % Corporate Income Tax  ? )


      *  Heavy " Annual Road Tax " on owners of Petrol / Diesel vehicles ( Rs 5 lakh/ year , ala SINGAPORE  model )


      *  Heavy taxation when a person buys a Petrol / Diesel vehicle  ( 30 % GST ? ), raising " Cost of Owning "


      *  ZERO Corporate Income Tax for manufacturers of Electric Vehicles ( for 10 years )


      *  Only 5 % GST on sale of Electric Vehicles ( 0 % if vehicle is DRIVER-LESS ? )


      *  No GST ( total exemption ) for purchase of Electric Vehicles by Public Transport Companies ( including " Ride

          Sharing Taxies )


      *  Total exemption from Road Tax for Electrically driven , Ride Sharing Taxies / Public Transport Buses ,
          enabling them to offer rides at Rs 1 per km ( 2 days back , OLA reduced it to Rs 3 per km ! )


     *   Carbon Credit ( thru DBT ? ) of Rs 1 per Km , for both the rider and the owner of an Electric Vehicle bases
          Public Transport ( including Ride Sharing Taxies ) , as explained in my earlier emails to Shri Nitin Gadkariji :


         *   PUBLICTRANSPORT AS A SOLUTION ?

               {  http://myblogepage.blogspot.com/2016/02/public-transport-as-solution.html  }

 

         *    RetiringOld Vehicles - Gadkari Style ?

             {  http://myblogepage.blogspot.com/2016/05/retiring-old-vehicles-gadkari-style.html  }

 

        *    Tablets inTaxies ?

            {   http://myblogepage.blogspot.com/2016/05/tablets-in-taxies.html  }

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28  Sept  2016

www.hemenparekh.in / blogs