Category: Laxmiraju Kandikatla

Biography (under construction)

  • Aula Convening Guideline 2025 Ed.

    Aula Convening Guideline 2025 Ed.

    The Aula Convening Guidelines, 2025 ed.

    These Aula Convening Guidelines are for people working on tech governance and AI in society, these are 6 guidelines for convening communities for legitimate collective decision-making on how AI is implemented in society.

    Since our founding in 2023, Aula Fellows have hosted and participated in 100s of conversations in more than 30 countries and regions on AI. We have spoken with people who have a variety of needs, spanning through Learning AI, Living with AI, Working with AI, and Shaping AI.

    We have worked through 3 project phases, to develop these guidelines, from the common elements that make for conversations in which communities make decisions about AI. Our goal is not a new type of consultation, but rather to see to it that community convenings are conductive to collective decision making on AI.

    In 2026 we will be reaching out to partner organizations to continue to refine these guidelines and to bring them to more groups of people.

    They are complete and available now under a Creative Commons license, in this V.01, 2025 Edition.

    Link to the PDF.

  • ISED Canada Consultation to Define the Next Chapter of Canada’s AI leadership

    ISED Canada Consultation to Define the Next Chapter of Canada’s AI leadership

    Aula Fellows contributed to the recent consultation on the government of Canada’s AI Strategy. Our principle recommendations are that the government needs to empower civil society inclusion in decision making and support small businesses. These will ensure not just social acceptability, but also fiscal and technical fit-to-purpose.

    Read the full consultation document here.

  • AI and Human Oversight: A Risk-Based Framework for Alignment

    AI and Human Oversight: A Risk-Based Framework for Alignment

    As Artificial Intelligence (AI) technologies continue to advance, protecting human autonomy and promoting ethical decision-making are essential to fostering trust and accountability. Human agency (the capacity of individuals to make informed decisions) should be actively preserved and reinforced by AI systems. This paper examines strategies for designing AI systems that uphold fundamental rights, strengthen human agency, and embed effective human oversight mechanisms. It discusses key oversight models, including Human-in-Command (HIC), Human-in-the-Loop (HITL), and Human-on-the-Loop (HOTL), and proposes a risk-based framework to guide the implementation of these mechanisms. By linking the level of AI model risk to the appropriate form of human oversight, the paper underscores the critical role of human involvement in the responsible deployment of AI, balancing technological innovation with the protection of individual values and rights. In doing so, it aims to ensure that AI technologies are used responsibly, safeguarding individual autonomy while maximizing societal benefits.

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