To give academic women who focus on AI and others worthy-and retarded-time in the spotlight, TechCrunch publishes A series of interviews focusing on remarkable women who contributed to the AI revolution.
Raji Arasu, the CTO of Autodesk, said he is using AI for “multiple decades” to solve software -related challenges.
“When traditional software development approaches – whether they are deterministic, procedural or other conventional methods – have struggled to face complex problems, I have always turned to AI as a solution, especially for the handling of non -structured data,” Arasu told Techcrunch in an interview .
Arasu had a long career in technology. In 1993, he joined Oracle as a technical engineering. A few years later, he was hired as a senior director on eBay, where he worked until the role of technology VP. Following a term on Stubhub and Intuit, Arasu has received an offer at Audodesk, where she has remained for the last four years.
Many of these opportunities have been possible by a strong professional support network, Arasu said. He tried to help others in turn to become vocals to support women in technology and driving Dei initiatives, especially for boards.
“Early in my career, I was lucky to have a different set of advisors who played a decisive role in shaping my confidence, boldly expressing my perspectives and views, supporting myself and ensuring that I had a place on the table,” Arasu said. , said Arasu. “Ensure that women, people of color and people with different backgrounds are part of the decision -making strategy are vital.”
In her various work throughout the years, Arasu said she had a front row position in exciting developments in the AI field. For example, at Autodesk, it oversees the company’s R&D org, which has explored AI applications in areas such as construction automation, 3D modeling and engineering design.
“Proposals in computing power, genetic AI and the specialization of the large models have destroyed the boundaries of research laboratories and have brought these technologies to the real world,” he said. “I am fascinated by the speed at which this AI revolution is ready to turn industries throughout the boat.”
While it is exciting, AI comes with danger, Arasu recognized. AI systems often reflect the prejudices and affairs of their creators, he said, and there are significant concerns about privacy, transparency and data practices to be addressed.
Arasu is a supporter of “close cooperation” between industry and the government to create “well -informed” AI policies that are beginning to face these dangers. But he warned that strong policy can only come from multi -scientific and varied cooperative groups.
“Unlike previous revolutions, there is now a clear recognition that participation without exclusion – especially women – is essential for achieving fairer, more innovative results in AI and other emerging technologies,” Arasu said. “As AI remodels industries such as health care, education and funding, women’s participation ensures that technology reflects a wider range of human experiences.”
Regardless of the arrangement, when it comes to building AI responsibly, Arasu believes companies should ensure that their systems are clear of how they work so that users can trust – or at least do not distrust – decisions they receive. This begins, he said, with the understanding of customers’ concerns about their data, creating practices for protecting privately owned and personal information and maintaining compliance with global policies.
“Ethical planning should guide the development process,” Arasu said, “incorporating different perspectives and creating a governance frameworks to reduce prejudice and risk management. Continuous monitoring and accountability are necessary, ensuring that AI systems They work as provided and addressing issues immediately.
