Project Management Central
Please login or join to subscribe to this thread
|
|||
|
|||
![]()
Abolfazl Yousefi Darestani
Manager, Quality and Continuous Improvement| Hörmann-TNR Industrial Doors
Newmarket, Ontario, Canada
In some forms and areas, it should be easier, as you can set their tone and language by defining general rules, which simplifies communication. However, there are other challenges as well ![]()
Rami Kaibni
![]()
Interesting thought, Madhusudhan. Traditional leadership has centered on authority, vision, and people management but as AI becomes part of the team, not just as a tool, but as an intelligent agent then leadership evolves into orchestration: aligning the strengths of both human and non-human contributors to achieve shared goals.
In this shift, emotional intelligence becomes even more crucial, especially in keeping human teams engaged, valued, and supported ...
1 reply by Madhusudhan H N
Apr 15, 2025 3:42 PM
Madhusudhan H N
...
That’s a great perspective and really resonates. A recent reflection building on this is how the leader's role becomes less about direct control and more about curating harmony between emotional intelligence for human engagement and strategic calibration of AI agents. Leadership then starts looking like designing a well balanced ecosystem, not just managing a team. ![]()
Yes, interesting thought, Madhusudhan.
Look, Leadership with AI teammates means becoming a bridge—not just a boss. You’ll focus on aligning AI’s efficiency with human values: setting clear boundaries (e.g., ‘AI handles data, humans handle empathy’), auditing decisions for fairness, and upskilling teams to collaborate critically with AI. The goal? A culture where humans and AI amplify each other’s strengths, with leadership ensuring ethics and purpose steer the ship. ...
1 reply by Madhusudhan H N
Apr 15, 2025 3:47 PM
Madhusudhan H N
...
I appreictae this perspective. It makes sense that leadership with AI becomes more about being a bridge. Focusing on aligning AI’s strengths with human values and ensuring a balance between efficiency and empathy sounds like the right way forward. Leadership would then be about guiding both sides to work together purposefully and ethically.
![]()
Madhusudhan -
It really depends on what values, principles and models the AI has been trained on. At one extreme, the AI will be a glorified toaster and it would be odd to treat it any different than any other appliance. At the other extreme, it will be a full sentient being and to treat it otherwise would be disrespectful and potentially lethal. A good fictional source of ideas related to this is the Star Trek: The Next Generation episode The Measure of a Man. Kiron ...
1 reply by Madhusudhan H N
Apr 15, 2025 3:54 PM
Madhusudhan H N
...
Thanks for sharing that, Kiron. You make an excellent point about how the AI’s values, principles, and models would define its role. The Star Trek episode you mentioned, The Measure of a Man, really highlights the dilemma, whether Data, as an artificial lifeform, should be treated as property or as an individual with rights. It is a fascinating metaphor for the conversation around AI today, where the ethical considerations of how we define and treat AI become more complex as technology evolves. Thanks!
![]() Apr 14, 2025 12:03 PM
Replying to Rami Kaibni
...
Interesting thought, Madhusudhan. Traditional leadership has centered on authority, vision, and people management but as AI becomes part of the team, not just as a tool, but as an intelligent agent then leadership evolves into orchestration: aligning the strengths of both human and non-human contributors to achieve shared goals.
In this shift, emotional intelligence becomes even more crucial, especially in keeping human teams engaged, valued, and supported That’s a great perspective and really resonates. A recent reflection building on this is how the leader's role becomes less about direct control and more about curating harmony between emotional intelligence for human engagement and strategic calibration of AI agents. Leadership then starts looking like designing a well balanced ecosystem, not just managing a team. ![]() Apr 14, 2025 12:45 PM
Replying to Sanjay Singh
...
Yes, interesting thought, Madhusudhan.
Look, Leadership with AI teammates means becoming a bridge—not just a boss. You’ll focus on aligning AI’s efficiency with human values: setting clear boundaries (e.g., ‘AI handles data, humans handle empathy’), auditing decisions for fairness, and upskilling teams to collaborate critically with AI. The goal? A culture where humans and AI amplify each other’s strengths, with leadership ensuring ethics and purpose steer the ship. ![]() Apr 15, 2025 7:26 AM
Replying to Kiron Bondale
...
Madhusudhan -
It really depends on what values, principles and models the AI has been trained on. At one extreme, the AI will be a glorified toaster and it would be odd to treat it any different than any other appliance. At the other extreme, it will be a full sentient being and to treat it otherwise would be disrespectful and potentially lethal. A good fictional source of ideas related to this is the Star Trek: The Next Generation episode The Measure of a Man. Kiron ![]()
Sergio Luis Conte
Helping to create solutions for everyone| Worldwide based Organizations
Buenos Aires, Argentina
it is a big mistake here. First of all, the definition of intelligent. All into AI relays on a key concept: human in the loop. The final decision is on human being hands, including AI Agents. Ai Agents decisions are "copy and paste" from human decisions that you mimic when you work with the people that will help you to create the agent. So, we need to avoid to contribute to general confusion.
![]() This question goes straight to the heart of what I’ve been calling Cognitive Agility and Farmer Leadership for the Digital Age.
|
Please login or join to reply
"It has become appallingly obvious that our technology has exceeded our humanity. " - Albert Einstein |