In the past, artificial intelligence (AI) was viewed as a science fiction invention. Today, however, most professionals are aware that smart technology is actively changing the workplace and that it will continue to do so in the near future. Almost every industry and profession, including OD, is incorporating AI. A high-level definition of AI entails the ability of machines to perceive, synthesize, and infer information intelligently. Input mappings can include speech recognition, computer vision, chat bots, and translation between (natural) languages. Even though organizations are embracing AI at varying rates, it is evident that as it becomes more widely accepted, the technology will have a lasting impact. To prepare for these changes, OD professionals should understand what the technology is and how it can be applied across various functions.
AI and OD
A company's OD function has perhaps the most to gain from AI, due to its broad scope. OD core activities include programs and processes designed to solve specific problems, change management, understanding organization needs, matching them to processes, and bringing efficiencies and positive change capabilities that AI can significantly enhance. By using AI, it is possible to streamline the organization’s processes by making highly personalized recommendations based on highly detailed data, including real-time dynamic data, which has been collected from an organization’s processes.
Two. Dimensions
AI can be classified in two dimensions: the first is the degree of intelligence it possesses, while the second is the platform type on which it is based. The implementation of a chatbot or a recommendation engine, for instance, can fall into any of the categories. Classification depends on how they are implemented in a specific application. From conversations with business owners and business firms in South East Asia, the author suggests that companies with limited AI experience might be better off starting by building or buying simple rule-based applications to gain some AI experience. Oftentimes, organizations adopt a crawl-walk-run approach, where the first step is to create a standalone application that doesn't require the user to interact directly with the application. For instance, an app that guides the basic processes in an organization that doesn't interact directly with the users. As a word of caution, the author suggests that it is necessary to have a clear understanding of the regulatory framework around AI and OD. The use of data by organizations has been under scrutiny in recent years by both consumers and regulatory agencies. They are required to ensure ethical use of data, compliant with GDPR standards, and within the context of a comprehensive AI strategy at all times. If they fail to do so, they will be subject to heavy penalties and reputational damage. It is possible for AI tools to overstep the legal guidelines in terms of personalization unless they have been specifically programmed to adhere to certain laws.
Conclusion
There seems to be a lot of discussion about AI these days, and for good reason. In order for any organization to embrace AI, the first step is to have a thorough understanding of AI. The use of AI is increasing in organizations, and it is important to understand its capabilities and limitations as it spreads. Whether we like it or not, AI is here to stay. AI and robotics still face enormous challenges when it comes to adapting to entirely novel situations. This is one of the reasons why organizations will continue to rely on human resources for a variety of tasks. Humans still excel at many things, including social interaction, unpredictable emotions and skills, common sense, and, of course, general intelligence. Although cutting-edge research in AI raises significant moral and ethical issues, we need to address them individually and collectively. The author believes that there is nothing to be afraid of when it comes to AI. Being aware of and adapting to the new technologies around us, including AI, is the most effective way to move forward.
Notes
Microsoft’s Vision: Building an AI-Powered Organization
This case is not for all OD practitioners. It’s for the bold, visionaries and change makers. With care and deep concern for organization culture, ethics, governance and human sensitivities, Ms Mitra Azizirad, Microsoft’s Corporate Vice President of AI & Innovation Marketing describes how AI fits with business model and capabilities, and the path to becoming an AI-powered organization. She introduces us to real businesses that are applying AI in their processes, customer service, and employee productivity. And how to scale AI technology across your entire organization.
Forthcoming ODPN Courses
Tita Puangco and Milalin Javellana Essentials of OD, April 18 (In-Person)
Dr. Josephine PerezProcess Observation and Analysis, June 27-28
Dr. Joy Calleja OD Diagnosis, September 6 (In-Person)
Dr. Miel Reyes Designing OD Interventions November 17 (In-Person)