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Naavi

After the intense discussions on AI in the context of DPDPA Compliance in our IDPS 2025, yesterday, I was in a literary meet organized by White Falcon Publishing which has published my book DGPSI-“The perfect prescription for DPDPA Compliance” and is in the process of publishing the next book “Taming the twin challenges of DPDPA and AI with   DGPSI-AI”.

In the gathering  there were professors who have written books on Agentic AI, Have taught AI as part of their corporate training responsibilities and also those who have worked with AI for a long time as part of their work responsibilities. It was a gathering which had more in depth AI specialists than what we can normally find in an IDPS seminar.

It was interesting to discuss in the context of writers the pros and cons of AI. While as Risk Management specialists we frown upon the AI for its hallucination vulnerability that renders it “Unpredictable”, the gathering of authors represented fiction writers who can make use of AI to create literary works. They obviously benefit  from the “Creative abilities” of an AI algorithm.

There is no doubt that there are many in the industry who use AI under their tight leash of human oversight who also consider AI as a friendly tool.

Hence it is clear that AI has two faces namely the “Risky face” as well as the “Friendly Face”. This reminds me of the famous story of “Dr  Jekyl and Mr Hyde” about the “Split personality” of an individual. AI also exhibits this split personality of being the friend in one context and a dangerous assistant on another context who can push us into a catastrophic situation.

This is more evident in the Generative AI scenario. However since other forms of AI  including the Agentic AI and the Analytical AI use Generative AI in some aspect, most of the AI models are a combination of all these three capabilities. We may therefore consider AI models to be a three way personality which involves cold calculations, generative forecasts and execution of decisions.

Just as today the world of data representation is moving  from Binary representation to trinary (or ternary) representation (where each  bit represents three value states, -1,0 and+1) , the AI models have to be looked at as a combination of the traditional analytical tool with  the Generative capabilities built out of training from large data, with execution responsibilities of an Agentic AI that interacts with the external world.

Some AI specialists say that “It is all in the Prompting”. If your prompt is constructed well, you may get the positive qualities of an AI and if your prompting is bad you may get bad and some time rogue responses.

Yes this could be a good excuse to say that AI is Afterall a technical tool and its utility depends on how we use it. But for a Risk manager, whatever may be the risk and whether it is of technical origin or human origin, Risk is a Risk that needs to be mitigated.  Hence understanding the three way split personality of an AI is essential.

I have earlier alluded to the “I am OK-You are OK” principle in the context of Machine Learning phase  of the AI development where the personality of the end AI model may depend on the training methodologies used.

Today we can also take the Eric Berne’s PAC model of Transactional Analysis to explain the three way split personality of the AI.

The  behaviour of a Child as either an obedient/adapted child  or a rebellious It looks similar to the “Behavioural” responses of our children when some times they transact child depends on the parental training which may emanate from either the  controlling parent or nurturing parent. Saying that the behavioural issues of an AI model is only in the  in the “prompting”  is to assume that AI always behaves in an Adult-Adult transactional mode.

But the truth is that AI model may also have its own Child behavioural characteristics which could be considered as a creation of its “Parenting”.(Machine Learning with Training Data inputs”).

The adaptive behaviour of an AI is the expected behaviour of a deterministic decision making like any other software. The rebellious nature is the “Natural Child Behaviour” where the AI may exhibit the “Creative  tendencies”. The guard rails  we create during parenting of an AI are the controls which try to make AI behave appropriately.

In this perspective,  I present  a behavioural  model  for studying and explaining the behaviour of  AI  either  as  a conformist  and  Obedient  assistant or as a creative supporting assistant or an unfriendly rogue assistant.

These are early days of development of this “Naavi’s theory of AI behaviour modelling” and let us start developing the thought process of what kind of an AI model a deployer wants and whether the developer can provide such variants through customization of temperature setting alone or by providing a set of guard rails to be configured by the deployer so that “Prompting” does not entirely determine the hallucination or rogue behaviour of an AI model if the deployer does not want it to be so.

I invite comments for further developing this thought.

(P.S: AI Generated synthetic content)

Naavi

White Falcon Publishing which as published my book “DGPSI-The perfect prescription for DPDPA Compliance” is organizing a literary meet today in Bangalore for authors in Bangalore.

As part of the event there will be a panel discussion on “Algorithms as Story Tellers”

The relevant  works at White Falcon Publishing of the panellists are as follows

Look forward to the discussions.

Naavi

FDPPI successfully completed the Chennai leg of IDPS 2025 today at MMA auditorium. Event was co-hosted by MMA and was well attended.

The event was inaugurated by Mr H Shankar, the MD of Chennai Petroleum Corporation Ltd, followed by 5 panel discussions on different  topics surrounding DPDPA  and AI DPDPA and AI.

Naavi

While one school of development in the Computer technology is working on transformation from the current Binary System of  Classical Computing to the Quantum Computing where a bit can take the status of either o or 1 so that a Qubit based systems can process faster.

Now there is another school of thought that we can start using a “Ternary” system where a bit can assume a value of -1 or 0 or 1 instead of just 0 and 1. This means that two bits together can assume  9 values instead of 4 in the Binary system.

In terms of processing, a Quantum Computer can simultaneously process multiple super positioning states while Binary or Ternary computers can only process in finite 4 or 9 values at a time.

Thus  it appears that storage wise, a ternary system is more efficient than quantum system and processing wise, quantum computing is faster.

At a time when we are trying to take on US in innovation, we need to therefore think how we can leverage this concept of “Ternary” chips.

It is reported that Huawei has already produced a Ternary Chip and India should also try to conduct its research in this direction.

In terms of certainty of data and its evidentiary value, Ternary chips are better than Qubits. On the other hand a Qubit has an uncertain value and is therefore  not reliable as a data store.

In the AI scenario, uncertainty of bit level values in a Qubit can add a higher probability of “hallucination” making AI even more risky than it currently is. Hence a Ternary based AI system may be considered better than a Qubit based AI system.

Probably in future, the Classical computers may transit into Ternary/Trit chip Computing with Quantum Computing supporting the Ternary Computers with faster processing.

Bit, Trit and Qubit  may be the three different types of computer storage units with which the future of computing may progress. The law needs to catch up with these technical developments as much as the developments of AI and Quantum computing.

Probably we need to debate this aspect in upcoming technology debates.

Naavi  welcomes a debate in this direction.

Naavi

In a surprising move, a Government seems to have taken Governance to ridiculous lengths by appointing an AI Chatbot as a Minsiter.

In the past we  have seen a humanoid robot being given citizenship of a country and another humanoid robot appointed as CEO of a MNC.

Now  we may see more bizarre events of AI becoming ministers in Government.

Interesting but disturbing developments.  Hope these AI devices donot start “Hallucinating”.

According to the Prime minister,

“Diella” will oversee and allocate all public tenders that the government assigns to private firms. “[It] is the first member of government who is not physically present, but virtually created by artificial intelligence,” She will help make Albania “a country where public procurement is 100% corruption-free.”

Also see: Project Syndicate

Naavi