How AI tools can-and cannot-help organizations become more ethical

Area of Science:

• Computer Science
• Ethics
• Organizational Psychology

Background:

• AI systems are not inherently ethical and reflect human developers' biases.
• Human decision-makers often lack the ethical maturity for AI governance.
• There's a need to enhance ethical decision-making in organizations.

Purpose of the Study:

• To argue for retaining ethical responsibility with humans.
• To propose AI as a tool for ethical upskilling.
• To introduce a human-AI collaboration model for ethical development.

Main Methods:

• Conceptual argument on AI ethics and human responsibility.
• Analysis of AI's role in reflecting and addressing human biases.
• Proposal of a collaborative human-AI paradigm for ethical learning.

Main Results:

• AI systems will not surpass human ethical capabilities.
• AI can serve as a reflective tool to expose and address human biases.
• A human-AI collaborative model can foster organizational ethical maturity.

Conclusions:

• Ethical decision-making must remain a human responsibility.
• AI can be leveraged to improve human ethical understanding and behavior.
• A new paradigm for human-AI collaboration is essential for navigating the digital future ethically.