Applications of Chatbots & AI Image Generators

Gurneesh Singh Banga, Arnav Sadana, Prateek Pandey, Shruti Gupta

Abstract


This research digs into the domain of testing and evaluating chatbots and im-age-generation AI bots which are wide-ranging applications. While these AI systems hold promise in enhancing user experience and operational efficiency, their deployment necessitates rigorous inspection. Chatbots are integral to customer service and demand precision and reliability. Image-generation AI focuses on output quality. To ensure its responsible use, vigorous testing and evaluation are necessary. The research will evaluate the current state of chat-bots and AI image generators, revealing gaps in outcomes and ethical considerations. This study contributes to the responsible and effective deployment of chatbots and image-generation AI bots, to pave the way for their continued integration into our daily lives and businesses.

Full Text:

PDF

References


Bavaresco, Rodrigo, et al. "Conversational agents in business: A systematic literature review and future research directions." Computer Science Review 36 (2020): 100239.

https://www.sciencedirect.com/science/article/abs/pii/S1574013719303193

Adamopoulou, Eleni, and Lefteris Moussiades. "Chatbots: History, technology, and applications." Machine Learning with Applications 2 (2020): 100006.Artificial Intelligence (AI) applications for marketing

https://www.sciencedirect.com/science/article/pii/S2666827020300062

Brown, Tom, et al. "Language models are few-shot learners." Advances in neural information processing systems 33 (2020): 1877-1901.

https://proceedings.neurips.cc/paper_files/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html?utm_medium=email&utm_source=transaction

Balaji, Yogesh, et al. "ediffi: Text-to-image diffusion models with an ensemble of expert denoisers." arXiv preprint arXiv:2211.01324 (2022).

https://arxiv.org/abs/2211.01324

Fraga-Lamas, Paula, and Tiago M. Fernandez-Carames. "Fake news, disinformation, and deepfakes: Leveraging distributed ledger technologies and blockchain to combat digital deception and counterfeit reality." IT professional 22.2 (2020): 53-59.

https://ieeexplore.ieee.org/abstract/document/9049288

Elasri, Mohamed, et al. "Image generation: A review." Neural Processing Letters 54.5 (2022): 4609-4646.

https://link.springer.com/article/10.1007/s11063-022-10777-x

Goodfellow, Ian J., Jonathon Shlens, and Christian Szegedy. "Explaining and harnessing adversarial examples." arXiv preprint arXiv:1412.6572 (2014).

https://arxiv.org/abs/1412.6572

Ajunwa, Ifeoma, et al. "Hiring by algorithm: predicting and preventing disparate impact." Available at SSRN (2016).

http://sorelle.friedler.net/papers/SSRN-id2746078.pdf


Refbacks

  • There are currently no refbacks.


------------------------------------------------------------------------------------------------------------------------

The ADBU Journal of Engineering Technology (AJET)" ISSN:2348-7305

This journal is published under the terms of the Creative Commons Attribution (CC-BY) (http://creativecommons.org/licenses/)

Number of Visitors to this Journal: