- Identifying Project Stakeholders
- The Impact of AI on Stakeholder Expectations
- Stakeholder Analysis with AI
- Engaging Stakeholders through AI-Driven Communication
- AI as a Stakeholder for Project Management?
- Ethical Considerations and Professional Responsibilities
- Key Points to Remember
- Technical Guide
This chapter is from the book
This chapter is from the book
This chapter is from the book
Ethical Considerations and Professional Responsibilities
Think about being a project manager as you’d think about coaching a sports team: every player has an impact. It’s the same when using AI tools like ChatGPT to work with stakeholders. These tools can make a real difference when chatting with stakeholders, planning, and monitoring risks. So, you must keep a close eye on how the AI is doing to ensure it’s working properly, being used effectively, and not causing any problems. Always be aware that real-world decision-making calls for human judgment, empathy, and an understanding of cultural and emotional nuances that AI might not fully grasp. In addition, AI has limitations: one notable gap is its inability to understand or interact with the world in real time. Let’s look at Global Health again. Assess how ChatGPT’s email drafts and stakeholder analysis are helping (or not helping) with stakeholder engagement. Are the stakeholders happy with the emails the AI is writing?
Powerful models like ChatGPT can completely change how we manage project stakeholder engagement, but it’s also essential to consider the ethical issues around using ChatGPT in stakeholder engagement. This includes keeping data private, avoiding bias, being transparent, and ensuring that someone is accountable and responsible for data practices.
Data Privacy and Security
When an AI product such as ChatGPT is used in stakeholder engagement, it handles sensitive data. Keeping that data safe from anyone who shouldn’t have it is essential. You should know how the AI handles privacy and data and ensure it sticks to the rules. For example, if you upload emails for AI to learn from, can you trust that AI will keep them confidential?
It is also important to get explicit consent for data processing and storage when using AI systems. Let stakeholders know precisely how ChatGPT will be used and what that means for their data privacy. In addition, allow your stakeholders to change their minds at any time about how their data will be used and stored.
Bias and Discrimination
AI models like ChatGPT learn using loads of data, and they might pick up and continue any bias that is present in that data. This could lead to biased or offensive content in the responses from the AI, which could damage relationships with your stakeholders and throw a wrench in the works for your project.
To reduce the risk of bias, keep a close eye on what the AI product is producing and give feedback to the AI provider so that the software can keep improving. Aim for diversity and inclusivity in stakeholder engagement, involving stakeholders with different backgrounds and views. This can help prevent the AI from accidentally reinforcing existing biases or creating new ones.
Depending on its training, AI might unintentionally generate inappropriate or harmful content, which could be a significant issue in a management context.
Transparency and Explainability
Being transparent is also important when using ChatGPT for stakeholder engagement. Stakeholders should know when they are interacting with an AI tool and understand its potential limitations and risks. Being open about what’s happening helps build trust and credibility, which are key to good stakeholder engagement.
It’s key that the system explain why it’s giving the outputs it is. You must ensure that stakeholders have some understanding as to why the AI is saying what it is. You can do so by providing clear explanations and context to back up what the AI is saying.
Accountability and Responsibility
Finally, having accountability and responsibility is essential when using ChatGPT in stakeholder engagement. Be clear about who’s responsible for what the AI says and how it affects the engagement process. Also be ready to handle any issues or worries stakeholders might have about using AI.
By thinking about data privacy, bias, transparency, and accountability, as project managers we can make sure we’re using ChatGPT responsibly and ethically, helping to build trust and cooperation among stakeholders and contributing to the success of their projects.