'60 Leaders' is an initiative that brings together diverse views from global thought leaders on a series of topics – from innovation and artificial intelligence to social media and democracy. It is created and distributed on principles of open collaboration and knowledge sharing. Created by many, offered to all.
ABOUT 60 LEADERS
'60 Leaders on Artificial Intelligence' brings together unique insights on the topic of Artificial Intelligence - from the latest technical advances to ethical concerns and risks for humanity. The book is organized into 17 chapters - each addressing one question through multiple answers reflecting a variety of backgrounds and standpoints. Learn how AI is changing how businesses operate, how products are built, and how companies should adapt to the new reality. Understand the risks of AI and what should be done to protect individuals and humanity. View the leaders.
'60 Leaders on Innovation' is the book that brings together unique insights and ‘practical wisdom’ on innovation. The book is organized into 22 chapters, each presenting one question and multiple answers from 60 global leaders. Learn how innovative companies operate and how to adopt effective innovation strategies. Understand how innovation and experimentation methods blend with agile product development. Get insights from the experts on the role of the C-Suite for innovation. Discover ways that Innovation can help humanity solve big problems like climate change.
What is the academic curriculum for a successful career in AI?
Jon Skirnir Agustsson
AI is used to describe a broad set of tools used for pattern recognition, automation of cognitive tasks, augmentation of data, and generation of new outputs or content. Since AI encompasses a broad set of tools and methods which are applied to almost every area of our lives one can approach the field from multiple different angles. In my job, I lead an interdisciplinary team to develop Artificial Neural Networks and other AI tools to be used in clinical practice. In our world, developing and training the models encompasses only a very small part of the whole development and release journey of AI products. To be successful, we need to understand how the AI products are used and by whom; we must understand how the data we use is generated, this includes understanding physiology, sensors, and instrumentation; we must understand how the users and patients interact with our AI products and are impacted by our outputs; and we have to do all of this within the relevant ethical, regulatory, and legal boundaries.
In our world, there is no one way of having a successful career in AI, but overall my impression is that the people who outshine others are those who have a strong foundation in a specific field to build on and have an affinity for learning and collaborating with people with very different backgrounds. In our case, we may have engineers having very deep dialogs with medical doctors where they need to build a mutual understanding of how a disease is diagnosed, what are the edge cases, how AI is best developed for each use case, and how a wrong diagnosis can be mitigated. It takes strong communication skills to explain and learn from people who approach the same challenges from very different directions.
For young people who are interested in pursuing a career in AI, my advice would be to specialize in a field that highly interests you. If you are inclined to specialize in Computer Science, Engineering, Math, Physics, or another technical domain you would learn Programming, Statistics, and other relevant hard skills. When you have established your hard skills, it becomes increasingly important to understand the ecosystem your AI products will be used and to learn to communicate with key stakeholders in that ecosystem. For others who are more interested in areas where AI might be a useful tool, I would advise them to get their education in the field they are interested in. Studying languages, history, medicine, or something that is not directly related to AI does not mean you will not have a shot at building a career in AI. If you learn to understand how AI can be leveraged in your field and learn to communicate with technical people you can be at a great place to introduce or enhance AI in your area of speciality.
AI is just a tool and for it to have a real impact it should be applied to the right challenges, at the right time, and in the right manner.