Morant McLeod

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AI doesn't exist in a vacuum. It interacts with and often directly serves your customers or clients. Therefore, understanding their needs and expectations regarding AI is crucial. Soliciting feedback from customers about their experiences with AI-driven services or products, analyzing customer data to understand preferences, and considering privacy concerns and ethical considerations from the customer's perspective can guide more customer-centric policy development. Watch The Full Video Here: https://buff.ly/4aJ4NgG #AIpolicy #workplaceAI #AIethics #AIregulation #AIgovernance #AIstrategy #AIimplementation #AIbestpractices #datamanagement #futureofwork #MorantMcLeod #managementconsulting #businessstrategy #technologytrends #innovation #digitaltransformation

Understanding The Wider AI Landscape To create a truly effective AI policy, it's essential to look beyond your organization's walls. Understanding how AI is used by competitors and within your industry as a whole provides valuable context. Conducting competitive analysis, engaging with industry associations, and reviewing case studies and industry reports can offer insights into sector-specific applications of AI, ensuring that your policy is not only comprehensive but also competitive. Watch The Full Video Here: https://buff.ly/4aJ4NgG #AIpolicy #workplaceAI #AIethics #AIregulation #AIgovernance #AIstrategy #AIimplementation #AIbestpractices #datamanagement #futureofwork #MorantMcLeod #managementconsulting #businessstrategy #technologytrends #innovation #digitaltransformation?

Taking Stock Of AI Utilization The first step in crafting an effective AI policy is to take a comprehensive inventory of how AI is currently being used within your organization. This involves identifying all existing AI applications, from customer service chatbots to data analytics tools. By conducting internal surveys and engaging in discussions with department heads and IT personnel, you can gain a clear understanding of which AI tools are in use, the tasks they perform, and the departments that rely on them. Additionally, it's crucial to identify any AI systems in pilot phases or being tested for future deployment, as these will need to be incorporated into the policy as well. But taking inventory isn't just about the present; it's also about the future. Forecasting future AI applications is a crucial part of policy development. This involves staying abreast of emerging technologies and industry trends by attending conferences, subscribing to industry journals, and participating in relevant online communities. Feasibility studies can help assess the potential impact and utility of new AI technologies, allowing you to proactively address policy needs before new technologies are even adopted. Watch The Full Video Here: https://buff.ly/4aJ4NgG #AIpolicy #workplaceAI #AIethics #AIregulation #AIgovernance #AIstrategy #AIimplementation #AIbestpractices #datamanagement #futureofwork #MorantMcLeod #managementconsulting #businessstrategy #technologytrends #innovation #digitaltransformation?

Developing An Effective AI Policy For The Workplace In today’s rapidly evolving technological landscape, artificial intelligence (AI) is no longer just a buzzword but a practical tool deeply embedded in various business operations. From automating routine tasks to providing deep insights through data analysis, AI's role in the workplace is expanding. However, as its presence grows, so does the need for comprehensive AI policies to ensure its responsible and effective use. Here we discuss a structured approach to developing such policies based on recent research and industry practices. Watch The Full Video Here: https://buff.ly/4aJ4NgG #AIpolicy #workplaceAI #AIethics #AIregulation #AIgovernance #AIstrategy #AIimplementation #AIbestpractices #datamanagement #futureofwork #MorantMcLeod #managementconsulting #businessstrategy #technologytrends #innovation #digitaltransformation