Autodesk Cto Raji Arasu asks diversity in the teams that build AI

To give academic women focused on ai and other well -deserved and delayed people in the center of attention, Techcrunch has been publishing A series of interviews Focusing on notable women who have contributed to revolution ai.

Raji Arasu, Autodesk's CTO, said he has been using the “for several decades” to solve software -related challenges.

“When the development of traditional software is addressed, whether deterministic, procedures or other conventional methods, they have struggled to address complex problems, I have always resorted to ai as a solution, particularly to handle unstructured data,” Arasu told TechCrunch in An interview.

Arasu has had a long technology career. In 1993, he joined Oracle as technical engineering leader. A few years later, she was hired as a senior manager on Ebay, where she made his way to the role of Vice President of technology. After holdings in Stubhub and Intuit, Arasu accepted an offer in Audodesk, where it has remained during the last four years.

Many of these opportunities were possible by a solid professional support network, said Arasu. She has tried to help others succeed in turn being vocals about supporting women in technology and conducting initiatives ofi, particularly for directors' together.

“At the beginning of my career, I was lucky to have a diverse set of mentors who played a crucial role in the configuration of my trust, boldly expressing my perspectives and opinions, advocating for myself and ensuring that I had a seat on the table” Said Arasu. “Ensure that women, people of color and people with various origins are part of strategic decision making is vital.”

In his various works over the years, Arasu said he has had a front row seat for exciting developments in the space of ai. For example, in Autodesk, it has supervised the company's R&D organization, which has explored ai applications in areas such as construction automation, 3D modeling and engineering design.

“Advances in computer power, generative ai and the specific fine adjustment of the domain of large models have destroyed the limits of research laboratories and have brought these technologies to the real world,” he said. “I am captivated by the speed at which this ai revolution is prepared to transform industries in all areas.”

While it is exciting, ai comes with risks, Arasu acknowledged. ai systems often reflect the biases and assumptions of its creators, he said, and there are significant concerns about the privacy of data, transparency and data practices that must be addressed.

Arasu is a defender of “close collaboration” between industry and government to create “well -informed” policies that begin to address these risks. But she warned that a solid policy can only arise from multidisciplinary and diverse collaborative groups.

“Unlike past revolutions, there is now a clear recognition that inclusive participation, especially for women, is essential to achieve more fair and innovative results in ai and other emerging technologies,” said Arasu. “As Industries restart, such as medical care, education and finance, women's participation ensures that technology reflects a broader range of human experiences.”

Regardless of regulation, when it comes to building ai in a responsible way, Arasu believes that companies must ensure that their systems are clear about how they work, so that users can trust, or at least do not distrust, the decisions they make . This begins, he said, by understanding customers' concerns about their data, establishing practices to protect patented and personal information, and maintain compliance with global policies.

“The ethical design should guide the development process,” said Arasu, “incorporate different perspectives and create government frameworks to reduce bias and manage risks. Continuous monitoring and responsibility are essential, ensuring that the ai ​​systems work according to The expected and address the problems immediately.