To give female scholars and others focused on AI, a fit and arrears time to be in the spotlight, TechCrunch publishes A series of interviews It focuses on amazing women who contributed to the AI revolution.
Autodesk CTO Raji Arasu said he has been using AI for “decades” to solve software-related challenges.
“If traditional software development is struggling to deal with complex problems, whether it be deterministic, procedural or other traditional methods, I always have the solution to unstructured data, especially as a solution. We relied on AI to process it,” ARASU told TechCrunch in an interview.
Arras has had a long career in technology. In 1993, she joined Oracle as a technical lead in engineering. A few years later, she was hired as eBay's senior manager, where she even worked as a vice president of technology. After his tenure at StubHub and Intuit, Arasu accepted the offer at Audodesk and remained in the past four years.
Many of these opportunities have been made possible by a strong professional support network, Arasu said. She tried to help others succeed in supporting women in technology and driving DEI initiatives, particularly for the board of directors.
“Early in my career, I have a key role in shaping my self-confidence, boldly expressing my perspective and opinions, defending myself, and ensuring I have a seat at the table. “We were fortunate to have a diverse set of mentors who did it,” Arras said. . “It is essential to ensure that women, people of color, and individuals from various backgrounds are part of strategic decision-making.”
In many years of different jobs, Arras said he has a front row seating for exciting developments in the AI field. For example, Autodesk oversees the company's R&D Org, which explores AI applications in areas such as Construction Automation, 3D modeling, and engineering design.
“Advances in computing power, generative AI, and domain-specific fine-tuning of large-scale models have shattered lab boundaries and brought these technologies to the real world,” she says. I did. “I am fascinated by the speed at which this AI revolution is poised to transform industry all over the place.”
While it's exciting, AI comes with risks, Aras admitted. AI systems often reflect creator biases and assumptions, she said. There is also great concern about data privacy, transparency and data practices that need to be addressed.
ARASU is advocate for “close collaboration” between industry and government and creates “informed” AI policies that begin to address these risks. However, she warned that strong policies can only emerge from interdisciplinary and diverse cooperative groups.
“Unlike past revolutions, there is a clear perception that inclusive participation, particularly by women, is essential to achieving more equitable and innovative results with AI and other emerging technologies. ” Arasu said. “As AI forms industries such as healthcare, education and finance, women's involvement ensures that this technology reflects the broader human experience.”
When it comes to building AI responsibly, independent of regulations, ARASU believes that companies must ensure that they are clear about how their systems work. This starts with understanding customer concerns about data, implementing practices to protect their own personal information, and maintaining compliance with global policies, she said.
“Ethical design should guide the development process,” Arasu said. Continuous monitoring and accountability are essential, ensuring that your AI systems function as intended and address issues quickly. Finally, fostering customer-centric, interdisciplinary collaboration helps ensure that AI serves common interests, navigates risks and maximizes society's benefits. ”
