The CEO of an Indian AI startup has been arrested on suspicion of murder after the body of his 4-year-old son was found in his luggage, according to reports.
Suchana Seth, who heads the Mindful AI Lab, was detained in the southern state of Karnataka on Monday after authorities contacted the taxi driver who was transporting her and asked him to take her to the nearest police station. , Reuters reported, citing Goa police. Official Paresh Naik.
According to Reuters, Naik said Seth checked into a hotel in Goa on Saturday, but when he checked out on Monday night, the boy was missing.
Naik told the news agency that hotel cleaning staff found bloodstains in Seth's room and informed the police.
“When we opened the package, we found the dead body of a child,” North Goa Police Superintendent Nidin Varsa said, Reuters reported.
The circumstances surrounding the alleged murder have not been made clear, but Seth told police that she was estranged from her husband and that divorce proceedings were underway, according to Indian news site The Week.
Seth has now been brought back to Goa state for media questioning, while her husband, who was in Indonesia at the time of the killing, has been asked to return to India, Reuters reported.
The 39-year-old Bangalore-based company says on its website:
“We understand the end-to-end lifecycle of data science projects. We understand the challenges of deploying AI systems into the real world. We understand the challenges of deploying AI systems into the real world. We believe in values and empowering humans to build ethical AI,” he added.
Seth's LinkedIn page describes her as “an AI ethics expert and data scientist with over 12 years of experience leading data science teams and scaling machine learning solutions in startups and industrial labs,” and as a “Berkman Klein Center He explains that he is a fellow of She is at Harvard University. ”
“At Berkman, Suchana,” Harvard University's website said. [was] Researching how to operationalize ethical machine learning and AI in industry. Her interests include auditing algorithms for fairness, accountability, and transparency in machine learning, ethical monetization of AI, security vulnerabilities specific to machine learning and AI systems, and the regulatory landscape of predictive algorithms. and so on. ”
