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Areas Where AI Can Only Augment Leadership

If one thinks of great leaders we have heard of, such as Mahatma Gandhi, Martin Luther King, John F. Kennedy and Ronald Reagan, or superb leaders we have worked with or are becoming, a few areas where humans absolutely cannot be replaced with AI, at least till the much-touted AGI descends on us, immediately come to mind.

Recognise the tone of conversations. How often do good leaders intuitively respond to a choking voice or a raised tone, almost instinctively, and adapt their response to suit the new situation?
Grasp emotional needs of people. This wisdom comes from the experience of working with each individual over a period of time. Good leaders know what gets the best out of each person and are able to adapt their style for each member of their team.
Understand the context of a discussion. In many cases, looking at a transcript without understanding what was the prevailing situation and who had said or done what prior to the discussion makes it impossible to come to a judgement. Human intelligence in such cases is essential for taking a rational and positive decision.
Include subjective elements in any situation analysis. This is often done almost without apparent thought by good leaders because they can predict the outcome of any decision. They also know the background of views expressed and can understand the nuances before coming to a conclusion.
Take final decisions without having all the facts. This is one of the most important characteristics of great leaders who believe that 90 per cent decisions taken with only 60 per cent of the facts are often far more beneficial to an organisation than 60 per cent decisions taken after waiting for 90 per cent of the facts. But no algorithm today can help AI to take such decisions.
Create a coherent and credible story to explain rationale. The art of storytelling that many leaders have mastered over years of managing and leading is an invaluable addition to their winning toolkit.

In all these cases, AI can help in adding information and past data-based inputs but cannot play a lead role. Hence, it is also important for humans to realise that if they have to lead effectively and leverage AI to the fullest without any of the consequential risks, they have to play a key role in three areas:

Choose areas for AI deployment with discretion and wisdom.

This can result in substantial acceleration of fact-based decision-making, better simulations before choosing a path forward and avoidance of calamities like unsupervised prediction and action.

Consider the ethical implications of each deployment. It is quite possible that as AI progresses, it is able to identify the weaknesses of an employee or a customer and take decisions that end up being intrusive or manipulative. This must be anticipated and avoided to maintain the goodness of the organisation.
Redesign the organisation with responsible AI. This is where the ultimate benefits of a complete redesign, taking cognizance of the amazing capabilities of AI and yet mitigating the risks of uncontrolled AI, will lie. Wise and constantly learning and evolving leaders will be needed to craft the AI strategy and deploy it for organisation transformation.

练习题

According to the source material, which leadership capability is something AI can support with data but cannot reliably lead on by itself?

A. Recognising a raised tone in conversation and adapting the response immediately

B. Replacing all human judgement with transcript analysis alone

C. Eliminating the need for ethical review in deployment decisions

D. Making every decision only after all facts are available

Why does the passage argue that a discussion transcript alone may be insufficient for sound leadership judgement?

A. Because transcripts always contain factual errors

B. Because judgement also depends on prior events, participants' actions, and the prevailing situation

C. Because leaders should avoid using written records

D. Because context is less important than speed in every case

Which actions are presented as responsibilities of human leaders when deploying AI? Select all that apply.

A. Choosing areas for AI deployment with discretion and wisdom

B. Considering the ethical implications of each deployment

C. Redesigning the organisation with responsible AI

D. Allowing unsupervised prediction and action whenever possible

E. Ignoring risks if AI improves speed

The passage suggests that effective leaders often adapt their style to what brings out the best in each team member.

According to the source, waiting for about $90%$ of the facts before acting is always better than deciding earlier with about $60%$ of the facts.

The text presents storytelling as an important leadership tool for explaining the rationale behind decisions in a coherent and credible way.

In the source, AI can add information and past data-based inputs, but it cannot play a ___ role in the key leadership areas discussed.

Why must leaders consider the ethical implications of AI deployment? Answer in $1$ - $3$ sentences.

Explain how responsible organisational redesign with AI connects to earlier ideas about dual intelligence and human distinctiveness. Answer in $1$ - $3$ sentences.

Which scenario best reflects both wise AI deployment and the need for human leaders to understand emotional needs?

A. A manager lets AI automatically discipline employees based only on message sentiment scores

B. A leader uses AI for background data but personally adjusts feedback after understanding each employee's emotional needs

C. A company removes all human supervisors because AI can interpret every nuance

D. A leader ignores AI completely because technology has no useful role

A leader is reviewing an emotionally tense team discussion about deploying $AI$ in customer service. The transcript alone suggests one employee resisted the change, but the leader also notices a strained tone and knows this employee previously feared intrusive monitoring. Which response best reflects effective leadership with responsible $AI$ use?

A. Let the algorithm make the final decision because transcripts contain enough objective data

B. Use only customer preference data and ignore team concerns to speed up deployment

C. Combine the transcript with human judgment about tone, context, and emotional needs before deciding how to deploy

AI

D. Avoid using

AI

entirely because ethical risks make all deployment unacceptable

Which actions are most consistent with redesigning an organisation for responsible $AI$ while preserving human leadership strengths? Select all that apply.

A. Assign predictable analytical tasks to

AI

while keeping final judgment on nuanced people issues with human leaders

B. Redesign team structures, roles, and reporting relationships as

AI

agents take over some tasks

C. Train people in delegation, feedback loops, and prompt-related work so humans and

AI

can collaborate effectively

D. Remove human oversight because simulations always eliminate the need for subjective judgment

E. Focus human effort on emotional intelligence, context setting, and experience-based decision-making

Because $AI$ analytics can provide faster decision support, leaders should wait until they have nearly all the facts before making important decisions, rather than acting with partial information informed by experience.

When leaders use $AI$ to support decisions but retain final human judgment on context, emotion, and nuance, this reflects a approach.

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Areas Where AI Can Only Augment Leadership