Autodesk CTO Raji Arasu calls for diversity in the teams to build AI
To give university women focused on AI and other people their well -deserved – and late – Techcrunch has published A series of interviews Focus on remarkable women who have contributed to the AI revolution.
Raji Arasu, the CTO of Autodesk, said that it has been using AI for “several decades” to resolve the challenges related to software.
“When traditional software development approaches – whether deterministic, procedural or other conventional methods – had trouble solving complex problems, I have always turned to AI as a solution, in particular to manage Unstructured data, “Arasu at Techcrunch told an interview.
Arasu has had a long career in technology. In 1993, she joined Oracle as technical engineering manager. A few years later, she was hired as a senior executive at Ebay, where she progressed to the role of VP of technology. After mandates in Stubhub and Intuit, Arasu has accepted an offer to Audodesk, where she has stayed in the past four years.
Many of these opportunities have been made possible by a solid professional support network, said Arasu. She tried to help others succeed in their turn by manifesting herself on support for women in technology and the conduct of DEI initiatives, in particular for boards of directors.
“At the beginning of my career, I was lucky to have a diverse set of mentors who played a crucial role in the development of my confidence, boldly expressing my prospects and my opinions, to preconcerate me and make sure me That I had a seat at the table, “said Arasu. “Ensure that women, people of color and people with various history is part of strategic decision -making is vital.”
In her various jobs over the years, Arasu has said that she had a headquarters at the forefront for exciting developments in AI space. For example, at Autodesk, she oversees the company’s R&D organization, which explored AI applications in areas such as construction automation, 3D modeling and engineering design.
“The progress of computing power, generating AI and specific fine refinement in the field of large models have broken the limits of research laboratories and have brought these technologies to the real world,” she declared. “I am captivated by the speed at which this AI revolution is ready to transform industries at all levels.”
Although exciting, AI includes risks, recognized Arasu. AI systems often reflect the biases and hypotheses of their creators, she said, and there are important concerns about data confidentiality, transparency and data practices that must be processed.
Arasu is a supporter of “close collaboration” between industry and the government to create “well -informed” AI policies that are starting to respond to these risks. But she warned that strong policy can only emerge from multidisciplinary and various collaborative groups.
“Unlike past revolutions, it is now clear that inclusive participation – in particular by women – is essential to obtain more just and more innovative results in AI and other emerging technologies,” said Arasu. “While AI reshapes industries such as health care, education and finance, women’s participation guarantees that technology reflects a wider range of human experiences.”
Regardless of the regulations, when it comes to creating an AI in a responsible manner, Arasu thinks that companies must ensure that their systems are clear about how they work, so that users can trust – or Less not to be wary – decisions they make. It starts, she said, including customer concerns about their data, by implementing practices to protect proprietary and personal information and maintaining compliance with global policies.
“The ethical conception should guide the development process,” said Arasu, “incorporating various prospects and creating governance executives to reduce biases and manage risks. Continuous monitoring and responsibility is essential, ensuring that AI systems work as expected and quickly solving problems. Finally, the promotion of interdisciplinary collaboration centered on the customer helps to ensure that AI serves the common good, to navigate risks and to maximize its advantages for the company. »»
