Pakistan court asks government about steps taken to extradite Pakistanis jailed in Iran

In this 2006 file photo, an Iranian inmate peers from behind a wall as a guard walks by at the female section of the infamous Evin jail. (AFP)
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Updated 16 December 2020
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Pakistan court asks government about steps taken to extradite Pakistanis jailed in Iran

  • The case has been ongoing since 2018 and concerns the rights of Pakistani citizens imprisoned and facing imminent execution in Iran
  • 65 Pakistani prisoners are eligible to be brought back home under a 2014 prisoner transfer agreement

ISLAMABAD: The Lahore High Court on Wednesday asked the government of Pakistan to clarify and outline what steps it had taken to bring home Pakistanis convicted and jailed in Iran in a case ongoing since 2018 about the rights of Pakistani citizens imprisoned and facing imminent execution in Iran.

At the last hearing, the Ministry of Foreign Affairs appeared before Justice Shahid Waheed and submitted a list of 102 Pakistanis jailed in Iran. The ministry said 14 prisoners were repatriated in July this year under a prisoner transfer agreement signed in 2014. 

Iran had sought a similar list of its citizens jailed in Pakistan but the latter had yet to submit the details, the court observed, prompting Justice Waheed to question how much more time the government needed to bring back Pakistani prisoners. 

“The deputy attorney general should assist this court on the next date of hearing as to what steps have been taken regarding the transfer and extradition of convicted Pakistani prisoners in Iran,” Justice Waheed said in a statement released by Justice Project Pakistan, a prisoner rights group. 

During Tuesday’s hearing, Barrister Sarah Belal argued that of the list of 102 Pakistani nationals currently imprisoned in Iran, 65 had already been convicted and were thus eligible to be brought back home under the 2014 prisoner transfer agreement. She added that the agreement allowed the prisoners to serve the remainder of their sentences in their home country.

Earlier this year, Iranian Deputy Minister for Justice and Human Rights Mahmoud Abbasi had said Iran was ready to repatriate 44 Pakistani prisoners on humanitarian grounds but was awaiting a response from Pakistani authorities. However, despite more than six months having passed, Pakistan had yet to expedite their return, JPP said. 

Iran released thousands of prisoners when the pandemic first struck and is now entering a deadly second wave with a sharp spike in cases since October 15.

Speaking at a small gathering hosted by Justice Project Pakistan last Saturday, Special Adviser to the Prime Minister Zulfikar Bukhari reiterated his commitment to bring back all Pakistanis imprisoned abroad, whether they had committed a crime or not. 

On November 4, 41 Pakistanis imprisoned in Sri Lanka were brought back to Pakistan under a 2004 prisoner transfer agreement.

“Due to the lack of a uniform consular policy, Pakistani citizens imprisoned abroad lack consular support and adequate legal representation, often suffering due process violations such as long periods of detention without charge or trial,” JPP said. “The majority of Pakistani prisoners in foreign jails are arrested for non-lethal crimes such as drug trafficking, theft and violation of immigration laws.”
 


Pakistani student launches ‘Urdu ChatGPT’ AI model

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Pakistani student launches ‘Urdu ChatGPT’ AI model

  • Developer says “Qalb” is largest large language model built exclusively for Urdu
  • Project highlights push to localize artificial intelligence for non-English users

ISLAMABAD: A Pakistani student studying in the United States has launched an artificial intelligence model designed exclusively for the Urdu language, a development its creator says could help bridge longstanding gaps in access to advanced digital tools for millions of speakers worldwide.

The project, called Qalb, is positioned as an Urdu-first large language model at a time when most generative AI systems are primarily trained on English and other widely used global languages. Supporters of language-specific models argue they can improve accuracy, cultural relevance and accessibility for users in education, business and public services.

Urdu is spoken by more than 230 million people globally, including in Pakistan, India and diaspora communities, but remains under-represented in advanced AI systems. Efforts to localize artificial intelligence have increasingly been seen as critical for widening participation in digital economies, particularly in developing countries.

“Qalb is now recognized as the world’s largest Large Language Model created exclusively for the Urdu language,” Taimoor Hassan, the project’s developer, was quoted this month in a report in state-run news agency APP. 

“Trained on a massive dataset of 1.97 billion tokens and benchmarked across seven-plus international evaluation frameworks, Qalb outperforms existing Urdu-focused AI models on key real-world performance indicators, setting a new standard for natural language processing in Pakistan,” Hassan said.

“This is a development model and in the next phase we would soon launch App for mobile and web so that people could use and benefit from Qalb ChatGPT.”

Hassan completed his undergraduate degree in computer science at FAAST University’s Peshawar campus and is currently studying for a master’s degree in computer science and software engineering at Auburn University in the United States. According to APP, he is a serial entrepreneur who has previously launched and exited multiple startups and has represented Pakistan at international technology forums.

“I had the opportunity to contribute in a small way to a much bigger mission for the country,” Hassan said.

“Together with my undergraduate roommates and teammates, Jawad Ahmed and Muhammad Awais, we are committed to continuously fine-tuning localized models for niche industries, which we believe can become a major breakthrough for Pakistan.”

Both collaborators are also graduates of FAAST University Peshawar Campus and are currently studying in Germany, APP reported.

The team behind Qalb said the model is intended to support local businesses, startups, educational platforms and voice-based digital services, arguing that meaningful innovation is no longer limited to large technology firms.

“Technology is no longer locked behind big budgets or big teams. With the right mindset, even a small group can build products that educate, automate, and serve millions,” Hassan told APP.