How to Control the Use of AI?

You must have read innumerable opinions about the potential or effects of AI. There is sincere worry among experts and decision-makers.

You must have seen various viewpoints on the possibilities or effects of artificial intelligence (AI) since the introduction of ChatGPT, from doomsday preachers to swindlers trying to capitalise on the buzz with their pointless advice. Professionals and decision-makers are really concerned about the technology’s capacity to disintegrate and humans’ helplessness to stop that someplace in the middle.

In this context, Sam Altman, the CEO of OpenAI, the company that created ChatGPT, recently testified before the US Senate, saying: “I think if this technology goes wrong, it can go quite wrong.”

He is one of the many influential people, like Elon Musk, who are asking for regulation of AI. As no one has any idea how to truly go approach it, at least in terms of enforcing it, it is obvious that this is simpler said than accomplished.

However, that does not prevent policymakers from developing thorough strategies that might regulate this type of technology. The Ministry of Information Technology and Telecommunication just issued a draught National AI Policy, which saw the Pakistani government also hop on board.

The fact that we will soon have an AI policy without specific data regulations in place makes the entire procedure funny. Since 2018, a draught version of the Personal Data Protection Bill is available. The economy of Pakistan has gone through three phases during this time, the rupee’s exchange rate has deteriorated from a value of Rs116 to Rs284, and the ruling class’s hold on politics has finally ended…wait, no, that’s not it.

However, let’s look at the larger plan in more detail, if there is one, despite the hunch that the National AI strategy is most likely little more than an unnecessary use of paper and some Islamabad-based consultant’s additional earnings for a summer vacation.

The draught is supported by these four pillars: Building a progressive and trustworthy environment, enabling the AI market, increasing awareness and readiness, and facilitating transformation and evolution are the first four goals.

The first pillar proposes creating a National Artificial Intelligence Fund, to which the Research and Development Fund will perpetually devote at least 30% of its resources. A board of directors with a maximum of 11 members and a CEO are required to run it.

In keeping with form, it then suggests a system of Centres of Excellence as the most important prerequisite for the adoption of AI in the nation. Even without the amnesty programme and the cuts to the Public Sector Development Programme, things have been difficult for them.

This pillar’s final goal, to “standardise the data of state-owned enterprises, boards, and government agencies for deploying AI-based algorithms,” is very important. The Centres of Excellence will then make this accessible to treatment using a sandbox-based licencing mechanism. Consider the huge datasets in educational institutions, health care, and energy that digital businesses have access to for the purpose of modelling.

Each sector’s possible use cases are explored in depth in the document, from the transformation of health services to smart training and evaluation.

The policy also sets high standards for workforce training, with a goal to upskill 1 million graduates of information technology in “high-impact practical ability in AI and Allied Technologies” by 2027. 10,000 fresh instructors will be required for this. The government intends to collaborate with the corporate sector to run an internship programme through the institutes that will provide at least 20,000 postings each year.

Additionally, it plans to sponsor 3,000 worthy individuals on the basis of open merit each year for postgraduate and doctorate degrees across the nation. Furthermore, there would be 100 seats for those with disabilities and 500 seats designated for women.

The initiative aims to promote the creation of academic research on AI in Pakistan and, via Centres of Excellence, promises logistical, financial, and information assistance of up to Rs200,000 per dissertation or paper, resulting in articles in national or global journals.

Additionally, a directorate dedicated to artificial intelligence will be established, with the aim of improving the creation of AI-based projects based on need evaluations controlling various tasks performed by AI along with the kind of data that is generated and handled for specified purposes.”

Many policy specifics, particularly those pertaining to the mechanisms and processes, have been omitted for the purpose of conciseness. Ticking checkboxes seems to be the main focus of the entire process.

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