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Paper ID:IJSREM67601

From Chatbots to Autonomous Agents: An Analysis of GPT-6 Astra’s Agentic Capabilities, Trust, and Safety

Stream/Area:

-

Subject:

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Paper ID:

IJSREM67601

Volume:

10 |

9 |

Sep 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ARS

Azalfa Rehman Siddiqui

Department of Information Technology and Computer Science

D.G. Ruparel College of Arts, Science and Commerce

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SRM

Saniya Ravindra Mahale

Department of Information Technology and Computer Science

D.G. Ruparel College of Arts, Science and Commerce

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ASG

Aarti Sanjay Gawai

Department of Information Technology and Computer Science

D.G. Ruparel College of Arts, Science and Commerce

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Abstract

The shift from conversational chatbots to autonomous AI agents changes the role of AI from providing answers to planning and carrying out tasks. This paper examines GPT-6 Astra as a case study to analyze how increasing autonomy relates to usefulness, perceived risk, trust, and human oversight. The study combines an analysis of Astra’s agentic capabilities and existing safety approaches with a questionnaire-based study of 50 respondents. The findings show that respondents generally recognize the benefits of greater autonomy but become more cautious as AI gains access to more tools, data, and consequential actions. Privacy and personal-data misuse emerged as the main concern, while privacy protection, clear explanations, and reliability were key factors influencing trust. The responses also showed a preference for greater human involvement in higher-impact actions rather than uniform supervision of every task. Based on these findings, the paper presents a risk-based oversight approach in which the level of human control is matched to the potential consequences of an AI action. The study highlights that the challenge is not simply how much autonomy AI should have, but how that autonomy can remain useful while keeping human control meaningful.

KEYWORDS

Agentic AI AI autonomy GPT-6 Astra AI safety human oversight trust

Cite This Article

Azalfa Rehman Siddiqui, Saniya Ravindra Mahale, Aarti Sanjay Gawai, "From Chatbots to Autonomous Agents: An Analysis of GPT-6 Astra’s Agentic Capabilities, Trust, and Safety," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-5, Sep 2026.

Full Article/Conclusion

This paper examines the shift from traditional chatbots to autonomous AI agents by analyzing GPT-6 Astra’s capabilities, associated risks, and the role of human oversight. It highlights how greater autonomy allows AI systems to perform more complex and multi-step tasks, while also increasing concerns related to privacy, security, unintended actions, and loss of control. The questionnaire-based study further shows that users recognize the benefits of autonomous AI but remain cautious when the system is given greater access or is involved in higher-impact actions. Privacy and personal-data misuse emerged as the most prominent concern, while privacy protection, clear explanations, and reliability were important factors in building trust. The study also indicates that users do not expect the same level of control for every task, with stronger human approval preferred for significant actions. Based on these observations, the paper presents a risk-based approach to human oversight, where the level of control is matched to the potential impact of an action. This approach aims to retain the usefulness of autonomous AI while keeping human involvement meaningful.

References

1.       OpenAI, “GPT-6 Astra: The Next Generation in Intelligence for Work,” 2026. [Online]. Available: https://openai.com/index/gpt-6-astra-next-generation-work/ 2.       OpenAI, “GPT-6 Astra System Card,” OpenAI Deployment Safety Hub, 2026. [Online]. Available: https://deploymentsafety.openai.com /gpt-6-astra 3.       NIST, Artificial Intelligence Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology, 2023. 4.       Anthropic, “Our framework for developing safe and trustworthy agents,” Aug. 2025. 5.       Anthropic, “Trustworthy agents.”.2026 6.       OpenAI, “GPT-6 Astra: A new generation of intelligence,” Sept. 2026. 7.       OpenAI, “Safety overview: GPT-6 Astra,” Sept. 2026. 8.       Passi, S., Dhanorkar, S., Vorvoreanu, M.: Appropriate Reliance on Generative AI: Research Synthesis. Microsoft Technical Report MSR-TR-2024-7. Microsoft Corporation (2024) 9.       Siebert, L.C., Lupetti, M.L., Aizenberg, E., Beckers, N., Zgonnikov, A., Veluwenkamp, H., Abbink, D., Giaccardi, E., Houben, G.-J., Jonker, C.M., van den Hoven, J., Forster, D., Lagendijk, R.L.: Meaningful Human Control: Actionable Properties for AI System Development. AI Ethics 3 (2023) 241–255 10.    Zhu, L., Lu, Q., Ding, M., Lee, S.U., Wang, C.: Designing Meaningful Human Oversight in AI. AI Ethics 6 (2026) 286

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Publication Date

9/30/2026

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