Autodesk Cto Raji Arasu calls on diversity in the teams to build artificial intelligence

To give women academies that focus on artificial intelligence and other time it deserve A series of interviews Focusing on wonderful women who contributed to the artificial intelligence revolution.

Raji Arasu, CTO OF Autodesk, said that she uses artificial intelligence for “multiple contracts” to solve software challenges.

“When the methods of developing traditional software – whether inevitable, procedural or other traditional methods – are fighting to address complex problems, it has always turned into Amnesty International as a solution, especially to deal with unorganized data,” Arasu said in an interview.

Arasu had a long profession in technology. In 1993, she joined Oracle as an engineering technical leader. A few years later, she was appointed Senior Director on EBY, where she worked on her way to the role of Vice President of Technology. After a period of Stubhub and Intuit, ARSU accepted an offer at Audodesk, where it has remained over the past four years.

Arasu said that many of these opportunities have become possible through a strong professional support network. I have tried to help others succeed by becoming voice in supporting women in technology and leading Dei initiatives, especially for managers councils.

Arasu said: “In the early life of my career, I was lucky because I have a variety of mentors who played an important role in shaping my confidence, expressing my views and opinions boldly, calling for myself, and ensuring that I get a seat on the table,” Arasu said. . “Ensure that women, colored people, and individuals who suffer from various backgrounds are part of strategic decisions are vital.”

In its various jobs over the years, Arasu said she had a seat in the front row for exciting developments in the artificial intelligence space. For example, in Autodesk, supervises the company R&D for the company, which explored artificial intelligence applications in areas such as building automation, 3D modeling and engineering design.

She said: “Progress in computing power, artificial intelligence, and the pressure of the field for large models has broke the boundaries of research laboratories and brought these technologies to the real world.” “He captivated me at the speed of this artificial intelligence revolution to transform industries in all fields.”

While artificial intelligence is sexy, AI comes with risks, Arasu admitted. She said that artificial intelligence systems often reflect the biases and assumptions of their facilities, and there are major concerns about the privacy of data, transparency and data practices that must be processed.

Arasu is a supporter of “close cooperation” between the industry and the government to create the “informed” “informed” Amnesty International policies that begin to address these risks. But she warned that strong policy could only appear from multidisciplinary cooperative groups.

“In contrast to the previous revolutions, there is now a clear recognition that comprehensive participation – especially by women – is necessary to achieve more and more innovative results in AI and other emerging technologies,” said Arasu. “Since Amnesty International restores industries such as health care, education and financing, women’s participation guarantees that technology reflects a broader group of human experiences.”

Regardless of the organization, when it comes to building artificial intelligence responsibly, Arasu believes that companies must ensure that their systems are clear about how they work, so that users can trust – or at least lack of confidence – the decisions they make. She said that this begins, while understanding customer concerns about their data, putting practices in place to protect private and personal information, and maintain compliance with global policies.

Arasu said: “The moral design of the development process must be directed, as it combined various views and creates governance frameworks to reduce bias and risk management. Continuous monitoring and accountability is necessary, ensuring that artificial intelligence systems are intended, and to address problems immediately. Finally, Enhancing cooperation through the specializations that focus on the customer helps to ensure the provision of artificial intelligence, the risk and increase its benefits to society.

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