Giacomo FrancoIndependent Business Owner| Business e Life CoachingNaples, Italy
I think this question is important because AI can have a significant impact on the lives of people and society, both positively and negatively. For example, AI can improve efficiency, productivity, and innovation, but it can also pose risks such as bias, discrimination, privacy, and security. Therefore, project managers need to be aware of these implications and take appropriate measures to ensure that their AI solutions are aligned with the values and expectations of their stakeholders and the society at large. Saving Changes...
Like with any other tools used to aid in delivering projects, the PM remains accountable for the success of the project and adherence with standards and regulations. Part of this accountability is ensuring not only that the results from use of AI are vetted but that the data sets used to train the AI are fair and representative.
I have identified 26 items for which the project manager should be responsible for delivering AI solutions considering the public interests of social and environmental impacts. The whole article is at: http://dx.doi.org/10.22367/jem.2022.44.18
• Privacy safeguards
• Ethics policies
• Professional membership
• Cost efficiency
• Energy costs
• Environmental impacts
• Intellectual property protection
• Project efficiency
• Legal safeguards
• Regulatory and legal compliance
• Community engagement
• Disclosure records
• Diverse working environment
• Model risk assessment
• Procurement records
• Recordkeeping
• Responsibility assignment matrix
• Risk assessment records
• Scope definition document
• Standards and guidelines
• Security safeguards
• Interpretable models
• Onboarding procedures
• Stakeholder-centric communication
• Equitable representation
• Interaction safety
One aspect could be OpenAI. OpenAI addresses the ethical and social implications of AI through transparency, research, bias mitigation, adherence to ethical guidelines, stakeholder engagement, and continuous improvement. These efforts ensure responsible AI development, promoting positive impacts on society while mitigating potential risks. Saving Changes...
Responsible AI talks about fairness and transparency in addition to other pillars. As a PM, you have to add specific tasks and approvals in the project plan to get accountability of team on the model (it is performing as expected).
Ethical consideration has to happen at all phases of the project by AI Project Manager. This course details about all topics where AI PM can be more effective while building domain-specific ML algorithms (beyond ChatGPT). Saving Changes...
