Joseph Engler, the chief AI scientist at Collins Aerospace, is deeply connected to the world of Artificial Intelligence. In fact, he named the AI he created, Allison, after a person, which stands for “All in Unison.” Engler’s goal is to develop AI solutions that empower employees within the company.
Engler’s passion for AI stretches back over 20 years, during which he has worked with machine learning and AI. His current role as the principal technical fellow at Collins Aerospace allows him to research new and powerful ways in which AI and complexity science can benefit not only the company but also the world beyond. Drawing inspiration from nature, Engler develops algorithms that not only mimic the human mind but also encompass the rich complexity found in our surroundings.
One of Engler’s key focuses is aligning AI with human values. He believes in developing mathematical ways in which computers can achieve human-level understanding and learning. With this approach, Engler ensures that AI is not only intelligent but also ethical and reflective of human principles.
Allison, the AI program, is designed to provide solutions and benefits to Collins Aerospace’s internal community. By utilizing historic data, it has the capability to improve employees’ job experiences and predict future outcomes. For example, Allison leverages computer vision algorithms to digitize historical documents for cost management and market competitiveness. It also utilizes text algorithms to summarize external articles, keeping employees informed and efficient.
Engler’s interest in AI was sparked by a book he read called “Chaos: The Making of New Science.” This book introduced him to the concept of complexity and self-organized systems, which eventually led him to explore machine learning and AI. He believes that AI is worth pursuing because it can offload mundane tasks and allow humans to focus on more creative and intellectually stimulating endeavors. Furthermore, AI has the ability to see patterns and detect objects not easily perceivable by humans, making it a valuable tool for augmenting our abilities.
While there are concerns about AI, Engler believes that many of these worries stem from misunderstandings. AI may excel at specific tasks, but it is not a replacement for human capabilities. One of the biggest risks he sees is the potential for privacy loss, both on a corporate and personal level.
Joseph Engler’s work and perspective showcase the importance of personal connection and human values in the development and implementation of AI. By prioritizing ethics and aligning AI with our values, we can harness the power of artificial intelligence to enhance productivity and creativity while mitigating risks.
Key Terms:
1. AI – Artificial Intelligence
2. Machine learning – A subset of AI that involves training systems to learn and improve from experience without being explicitly programmed.
3. Complexity science – An interdisciplinary field that studies complex systems and their properties, behavior, and patterns.
4. Algorithms – Step-by-step procedures or processes designed to solve specific problems or perform specific tasks.
5. Computer vision algorithms – Algorithms that enable computers to understand and interpret visual information from images or videos.
6. Text algorithms – Algorithms that process and analyze textual information, such as summarization or sentiment analysis.
FAQ:
Q: What is Joseph Engler’s role at Collins Aerospace?
A: Joseph Engler is the chief AI scientist at Collins Aerospace.
Q: What is the name of the AI program Engler created?
A: The AI program’s name is Allison.
Q: How does Engler develop AI algorithms?
A: Engler draws inspiration from nature and develops algorithms that mimic the human mind and encompass the complexity found in our surroundings.
Q: What is one of Engler’s key focuses?
A: Engler focuses on aligning AI with human values and developing mathematical ways for computers to achieve human-level understanding and learning.
Q: How does Allison benefit Collins Aerospace’s internal community?
A: Allison utilizes historic data to improve employees’ job experiences and can predict future outcomes. It uses computer vision algorithms for tasks like digitizing historical documents and text algorithms for summarizing external articles.
Q: What sparked Engler’s interest in AI?
A: Engler’s interest in AI was sparked by a book he read called “Chaos: The Making of New Science.” The book introduced him to the concept of complexity and self-organized systems.
Q: Why does Engler believe AI is worth pursuing?
A: Engler believes AI is worth pursuing because it can offload mundane tasks and allow humans to focus on more creative and intellectually stimulating endeavors. AI also has the ability to perceive patterns and objects that are difficult for humans to detect.
Q: What risks does Engler see with AI?
A: One of the biggest risks Engler sees is the potential for privacy loss, both on a corporate and personal level.
Suggested Related Links:
1. Collins Aerospace Homepage
2. Artificial Intelligence – Wikipedia
3. Machine Learning – Wikipedia
4. Complexity Science – ScienceDirect
The source of the article is from the blog newyorkpostgazette.com