Description:
The ongoing advances in artificial intelligence (AI) are not happening in a vacuum; they are socially, economically, politically, and culturally embedded. As artificial intelligence systems get augmented, it is important to align them with principles and values that humans find aggregable.
Ever since the cave-dwellers started to externalize or exteriorize their memories by painting the cave-walls, humans have been marshalling things outside their body to augment their capacity to understand the world around and within them to collaborate and live better. The recent advances in the ability to artificially create machines that can mimic thinking or act intelligently are allowing others to go where it was not ordinarily possible. The intended and unintended consequences of the AI capacity to make intrusion in the private realms of others have not been receiving sufficient attention from academic communities across the world.
There is a complex connection between technology and privacy that becomes a pressing concern. Critical theories, particularly those analyzing power, surveillance, and control, provide a valuable framework for understanding how AI impacts individual privacy. AI technologies, especially those based on data collection, are perpetuating these dynamics. For example, algorithms can analyze large amounts of personal data, resulting in the normalization of surveillance of people based on their behavior, decisions, preferences, and vulnerabilities without ever physically intruding in others’ private realms. This can potentially lead to an internalization of the observer’s gaze. This internalization can lead to self-censorship and conformity as individuals modify their behavior
Description:
The ongoing advances in artificial intelligence (AI) are not happening in a vacuum; they are socially, economically, politically, and culturally embedded. As artificial intelligence systems get augmented, it is important to align them with principles and values that humans find aggregable.
Ever since the cave-dwellers started to externalize or exteriorize their memories by painting the cave-walls, humans have been marshalling things outside their body to augment their capacity to understand the world around and within them to collaborate and live better. The recent advances in the ability to artificially create machines that can mimic thinking or act intelligently are allowing others to go where it was not ordinarily possible. The intended and unintended consequences of the AI capacity to make intrusion in the private realms of others have not been receiving sufficient attention from academic communities across the world.
There is a complex connection between technology and privacy that becomes a pressing concern. Critical theories, particularly those analyzing power, surveillance, and control, provide a valuable framework for understanding how AI impacts individual privacy. AI technologies, especially those based on data collection, are perpetuating these dynamics. For example, algorithms can analyze large amounts of personal data, resulting in the normalization of surveillance of people based on their behavior, decisions, preferences, and vulnerabilities without ever physically intruding in others’ private realms. This can potentially lead to an internalization of the observer’s gaze. This internalization can lead to self-censorship and conformity as individuals modify their behavior under the assumption that they are being watched; there are many historical examples of such self-censorships, which brings to the fore the important question: How can individuals truly experience their creativity?
While making it easier to govern citizens, the palpable possibility of self-censorship can potentially affect not only creativity, but the very humans’ capacity to experience their own emotions. Such unintended effects can potentially have devastating cascading effects on our social, economic, political, and cultural institutions.
Against this background, this conference aims to explore important issues of economics of AI, good governance, humanization of AI technologies, privacy, considerations of creative thinking and imagination, and take a comprehensive look at the challenges and opportunities of AI technologies. The following topics can be covered for the conference.
- AI and Governance
- AI and Privacy
- AI and Decentralization
- AI and Ethics
- AI and Employment
- AI and Economic Inequality
- AI and Creativity
- AI and Social Infrastructure for Meaningful Engagement
- AI Culture, Behavior, and Practices
- AI and Development
- AI, Law, and Economics of Governance
- Impact of AI on Sustainable Development
Eligibility: Abstracts for papers are invited from young scholars (those pursuing PhD and within 3 years of PhD awarded) who are interested to contribute to the discourse in any of the above topics but not limited to the above themes. We invite scholars from the diverse fields of economics, history, sociology, political science, philosophy, psychology, English literature, law, computer sciences, engineering, and school of AI.
Abstract Guidelines:
- The abstract should be within 800- 1000 words. It should provide sufficient details about; Background and Objectives of the study, Methods, Findings, Conclusion & Implications and 3-5 Keywords.
- All submissions must be in MS-Word document format only. The formatting should be in Times New Roman; font size 12 with regular texts and headings in bold; line spacing 1.15, and alignment “justified”.
- The file should only contain the title of the paper and abstract. There should be no mention of the author’s name or affiliation.
- The authors are requested to submit only an abstract at this stage. Full papers would not be considered at this stage. Once abstracts are selected, the authors will be informed to submit the full papers.
Financial Support: Accommodation and travel would be covered for selected young scholars. Selected papers will be published in SCOPUS indexed book as a volume.
For queries, write to: sola.conference@bennett.edu.in / bennett@youngscholarsinitiative.org
Please submit your abstracts by filling in the google form: https://forms.gle/Nsemi2YT6gnaADyx8. (Deadline to submit abstracts is extended by 1 week to 29 September 2024).
Important Dates:
Last date for submission of Abstracts: 22 September 2024 (Extended-29 September 2024)
Selected abstracts notified of acceptance: 05 October 2024
Last date for submission of full papers: 15 October 2024
Selected papers notified of acceptance: 30 October 2024
Core Organizing Committee:
- Ajith Abraham (Vice Chancellor- Bennett University)
- Sanjeev Kumar (Dean- School of Liberal Arts)
- Sunanda Nair-Bidkar (Director of Strategic Planning, South Asia, INET)
- K. Gopinath, Professor, Computer Science and Automation, Indian Institute of Science, Bangalore
- Koyal Verma (Assistant Professor, School of Liberal Arts)
- Varsha Gupta (Coordinator, South Asia Working group-YSI)
- Sattwick Dey Biswas (Coordinator, History of Economic Thought Working group-YSI)
- Bikram Barman (Coordinator, South Asia Working group-YSI)
- Christina Kujur (Organizer, South Asia Working group-YSI)
Administrative Support:
- Prakash Singh Rawat (Program Co-Ordinator)
