SUBHASH MISHRA
Dhanbad, March 4: Prof Anupam Basu of IIT Kharagpur expressed concern that the ethical issues and the issues of algorithmic bias often go unnoticed in the present machine learning systems.
Prof Basu, who was addressing the inaugural session of the 5th Institute of Electrical and Electronic Engineers (IEEE) international conference on ‘Recent Advances in Information Technology (RAIT–2023)’ at IIT Indian School of Mines (ISM), Dhanbad as a chief speaker, emphasised on the skills that the students and researchers of computer science and information technology should develop.
Notably, IEEE is the world’s largest technical professional organization.
A three-day conference is being organized by the department of Computer Science & Engineering, IIT iSM in Golden Jubilee Lecture with deliberations on ethical issues and algorithmic bias associated with the machine learning process.
Prof Basu’s lecture was aimed at making scientists, engineers and people, in general, aware of the possible ethical consequences of indiscriminate use of Artificial Intelligence (AI).
IIT ISM director Prof. Rajiv Sekhar presided over the inaugural function. Prof Sachin Tripathi, general chair for the conference said that in three days conference altogether 37 papers were received and after critical review from International and National reviewers in which 17 have been accepted for presentation during four technical sessions.
“Besides the inaugural session and the keynote addresses, the first day witnessed two invited talks from the industry and one technical session,” said, Professor Anshuman Bhattacharya.
In the first talk, Dr Snehasis Banerjee TCS Innovation Lab spoke about several embodied AI tasks backed by results, demos and insights on goal-oriented navigation, scene re-arrangement, human-robot interaction, and social navigation.
Dr Ankur Bal presented the second talk on digitally digital circuits’ flexibility, high density and low energy per computation to enable a new generation of designs based on minimal-precision, low-complexity analogue building blocks.
The talks followed during the first technical session where four research papers were presented on the theme of Artificial Intelligence and Machine Learning.
