Empowering Decision-Making Under Duress: A Dive into AI's Role in Modern Leadership

Improved Tracking and Prediction

• Real-time Monitoring: AI enables real-time tracking and prediction to monitor on-the-ground business developments, crucial in supply chains.
• Case Study - Unilever: Utilized AI for real-time monitoring of its palm oil supply chain to prevent deforestation, using mobile signals and satellite imagery analysis.
• Port Management: AI technologies streamline decisions and improve operational performance in seaports by orchestrating thousands of daily decisions like scheduling and safety calls.

Virtual Role-play in Real-world Conditions

• Training: AI-powered virtual role-play trains workers for realistic scenarios, improving decision-making in high-pressure situations.
• Case Study - Verizon: Utilized VR technology to train call center employees to handle difficult customer interactions.
• Emergency Response Training: AI and VR help in training individuals in emergency response, like police and healthcare professionals, enhancing decision-making under pressure.

Whisperers, Co-pilots, and Virtual Sounding Boards

• Generative AI as Advisors: Generative AI acts as virtual advisors, providing decision-makers with summaries, answers, simulations, and alternative scenarios based on vast data.
• Decision Co-pilots: AI-powered "co-pilots" assess information in dynamic situations, suggest options, and complete tasks, aiding in faster and informed decision-making.
• Reputation Management: Generative AI helps in real-time monitoring of online feedback, assisting in reputation management.
• Synthetic Data Creation: Generative AI creates synthetic data mimicking real-world processes for better decision modeling in high-impact, infrequent events.

Imperatives for Building Human-Machine Trust

• Domain-specific Application: AI models are more effective when applied to specific, well-defined problems using well-defined data.
• Experience Curve Consideration: The interaction and impact of AI technology vary with the skills and experience profiles of workers.
• Maintaining Expertise Currency: It's crucial to maintain human expertise alongside AI adoption to avoid organizational deskilling.
• Prompt Engineering: Structuring questions and prompts to AI systems effectively is vital for obtaining useful input, necessitating investment in prompt engineering skills.Resource: https://hbr.org/2023/10/how-ai-can-help-leaders-make-better-decisions-under-pressure