Implementing AI with a Human-Centric Approach? "FutureProof Humane AI"
How integrating AI in a business context can be achieved by prioritising the Human element. From understanding the importance of AI for leaders, employees, and stakeholders to designing and sustaining solutions that meet human needs.
Against the hype: what is AI for?
“Artificial intelligence refers to programs that can simulate human behaviour and decision-making”. Among several definitions, I stick with this.
The goal of AI is not to recreate human intelligence itself but to perform tasks and achieve business results that previously required human effort and skills.
Who thinks that AI works in the same way or better than the Human mind has lost the point. AI is considered another step in the development of the computerization of business activities, allowing automation of tasks that used to rely solely on people.
AI can improve efficiency, sales, costs and competitiveness. AI's intelligence itself is less important than its impact on metrics that matter to the business.
The Significance of the Human Element in AI Integration
For Leaders: AI empowers leaders to make informed decisions and drive strategic initiatives.
For Employees: AI augments employee capabilities, streamlines processes, and enhances productivity.
For Stakeholders: AI integration ensures Transparency and Accountability, creating Trust with stakeholders.
"THE" Strategic Approach:
Identifying Stakeholders Needs: Identify the workforce's and customers' specific requirements and challenges.
Business Goals: Create a strategic roadmap that aligns AI implementation with business objectives
Connect Stakeholders' Needs with Business Goals. ==> People-first
What is an AI design to meet Human needs? "FutureProof Humane AI"
Human needs are those elements directly or indirectly impacted by the implementation and adoption of AI, ML, and automation (RPA). When an AI implementation is strategically planned, seven critically fundamental elements exist that go into its design: FutureProof Humane AI
Supporting Human Role in AI Integration
Reskilling and Upskilling: Provide training and development opportunities to equip employees with the skills needed to work alongside AI.
Collaboration and Partnership with AI: Design how to support the collaboration between humans and AI to leverage both strengths.
Decision-Making Authority: Ensure humans retain decision-making authority, incorporating AI as a valuable tool.
AI Sustainability: Continuous Assessment and Improvement
Data Quality Assurance is a continuous process. Maintain accurate and reliable data to improve AI performance and outcomes and TRUST!
Stakeholders' Feedback and Iteration: Collect feedback to refine AI systems and ensure they meet evolving needs.
Adapting to Evolving Ethical Considerations: Stay updated on emerging ethical concerns and adapt AI integration accordingly.
The point here is to guarantee Companies' executives that the "FutureProof Humane AI" is a view that is not amendable because of Hypes, Inflated expectations of cost savings and cuts. Or possible future breakthroughs sold as " can do, could do, will be."
Let's be more pragmatic: Who really trusts fully automated companies in the name of the Holy Graal "AI"?
