AI, AGI: McKINSEY'S ADVICE, AND THE FUTURE OF THE ONLINE MBA PROGRAM

Navigating the Future of Business with BHSEU's Online MBA: Mastering AI and AGI. In a rapidly evolving digital landscape, where artificial intelligence and the quest for general artificial intelligence reshape industries, the BHSEU USA Online MBA program emerges as a pioneering force. This article explores how the program equips ambitious professionals with the cutting-edge tools and ethical understanding needed to lead in the age of automation. Through immersive coursework and practical application, students are prepared to not only grasp but also guide the future of AI and AGI in the global business environment, setting a new standard for responsible and innovative leadership.

As hardware and software limitations become increasingly surmountable, companies that manufacture robots are beginning to program units with new AI tools and techniques. These dramatic improvements enhance robots' ability to perform tasks typically handled by humans, including walking, sensing, communicating, and manipulating objects. For example, in May 2023, Sanctuary AI launched Phoenix, a bipedal humanoid robot that stands 5’ 7” tall, lifts objects weighing up to 55 pounds, and moves at a speed of three miles per hour—not to mention it also folds clothes, stocks shelves, and works a cash register.

As we approach AGI, we can expect increasingly sophisticated AI tools and techniques to be programmed into all kinds of robots. Here are a few categories of robots that are currently operational:

• Stand-alone autonomous industrial robots: Equipped with sensors and computer systems to navigate their surroundings and interact with other machines, these robots are critical components of the modern automated manufacturing industry.
• Collaborative robots: Also known as cobots, these robots are specifically engineered to operate in collaboration with humans in a shared environment. Their primary purpose is to alleviate repetitive or hazardous tasks. These types of robots are already being used in environments such as restaurant kitchens and more.
• Mobile robots: Utilizing wheels as their primary means of movement, mobile robots are commonly used for material handling in warehouses and factories. The military also uses these machines for various purposes, such as reconnaissance and bomb disposal.
• Human-hybrid robots: These robots possess both human and robotic features. This could include a robot with an appearance, movement capabilities, or cognition that resemble those of a human, or a human with a robotic limb or even a brain implant.
• Humanoids or androids: These robots are designed to emulate the appearance, movement, communicative abilities, and emotions of humans while continuously enhancing their cognitive capabilities through deep learning models. In other words, humanoid robots will think like a human, move like a human, and look like a human. Learn more about QuantumBlack, AI by McKinsey.

What advances could speed up the development of AGI? Advances in algorithms, computing, and data have brought about the recent acceleration of AI. We can get a sense of what the future may hold by looking at these three capabilities:

• Algorithmic advances and new robotics approaches. We may need entirely new approaches to algorithms and robots to achieve AGI. One way researchers are thinking about this is by exploring the concept of embodied cognition. The idea is that robots will need to learn very quickly from their environments through a multitude of senses, just like humans do when they’re very young. Similarly, to develop cognition in the same way humans do, robots will need to experience the physical world like we do (because we’ve designed our spaces based on how our bodies and minds work).

The latest AI-based robot systems are using generative AI technologies, including large language models (LLMs) and large behavior models (LBMs). LLMs give robots advanced natural-language-processing capabilities like what we’ve seen with generative AI models and other LLM-enabled tools. LBMs allow robots to emulate human actions and movements. These models are created by training AI on large data sets of observed human actions and movements. Ultimately, these models could allow robots to perform a wide range of activities with limited task-specific training.

LBMs allow robots to emulate human actions and movements. These models are created by training AI on large datasets of observed human actions and movements. Ultimately, these models could enable robots to perform a wide range of activities with limited task-specific training.

A real advance would be to develop new AI systems that start with a certain level of built-in knowledge, just like a fawn knows how to stand and feed without being taught. It's possible that the recent success of deep-learning-based AI systems may have diverted research attention away from the more fundamental cognitive work required to progress towards AGI.

Computing advancements. Graphics processing units (GPUs) have made possible the major AI advances of the past few years. Here's why. For one, GPUs are designed to handle multiple tasks related to visual data simultaneously, including rendering images, videos, and graphics-related computations. Their efficiency in processing massive amounts of visual data makes them useful in training complex neural networks. They also have a high memory bandwidth, meaning faster data transfer. Before AGI can be achieved, similar significant advancements will need to be made in computing infrastructure. Quantum computing is touted as one way of achieving this. However, today's quantum computers, while powerful, are not yet ready for everyday applications. But once they are, they could play a role in achieving AGI.

Growth in data volume and new sources of data. Some experts believe the 5G mobile infrastructure could bring about a significant increase in data. That's because the technology could power a surge in connected devices, or the Internet of Things. But, for various reasons, we think most of the benefits of 5G have already appeared. For AGI to be achieved, another catalyst for a huge increase in data volume will be needed.

New robotics approaches could yield new sources of training data. Placing human-like robots among us could allow companies to mine large datasets that mimic our own senses to help robots train themselves. Advanced self-driving cars are one example: data is being collected from cars that are already on the roads, so these vehicles are acting as a training set for future self-driving cars.

AGI is still decades away, at the very least. But AI is here to stay—and it is advancing extremely quickly. Smart leaders can think about how to respond to the real progress that's happening, as well as how to prepare for the automated future. Here are a few things to consider:

Stay informed about developments in AI and AGI. Connect with start-ups and develop a framework for tracking progress in AGI that is relevant to your business. Also, start to think about the right governance, conditions, and boundaries for success within your business and communities.

Invest in AI now. "The cost of doing nothing," says Nicolai Müller, a senior partner at McKinsey, "is just too high because everybody has this at the top of their agenda. I think it's the one topic that every management board has looked into, that every CEO has explored across all regions and industries." The organizations that get it right now will be poised to win in the coming era.

Continue to place humans at the center.

The BHSEU USA Online MBA program addresses these cutting-edge topics by integrating artificial intelligence (AI) and aspirations towards general artificial intelligence (AGI) into its curriculum. Recognizing the crucial importance of these technologies for the future of business, the program offers in-depth training on AI tools, techniques, and ethical implications. Students are immersed in real case studies and collaborative projects that allow them to apply AI concepts to concrete business issues, thus providing them with a practical perspective in addition to theoretical knowledge. In doing so, BHSEU USA prepares its graduates not only to understand emerging technologies but also to lead insightfully in increasingly automated and interconnected business environments.

Furthermore, the program emphasizes the development of critical thinking around the challenges and opportunities presented by the advancement towards AGI. Courses specifically designed around AI ethics and technological change management encourage students to reflect on how leaders can shape responsible and sustainable technologies. Classroom discussions, led by AI experts and industry thought leaders, enable students to familiarize themselves with the latest research and innovations in the AI field. Through a unique combination of academic learning and practical experience, the BHSEU USA MBA equips future leaders with the necessary skills to navigate and positively influence the dynamic landscape of AI and AGI in the business world.

Prof. Olivier Chazoule de Brivezac, MBA, LLM

President of The Business, Humanities, Science and Ethics University, USA. (BHSEU)

Website: USAhumanities.university

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