Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
Not on the map. Why?
Abstract (arXiv)
Conversational Artificial Intelligence (CAI) systems and Intelligent Personal Assistants (IPA), such as Alexa, Cortana, Google Home and Siri are becoming ubiquitous in our lives, including those of children, the implications of which is receiving increased attention, specifically with respect to the effects of these systems on children's cognitive, social and linguistic development. Recent advances address the implications of CAI with respect to privacy, safety, security, and access. However, there is a need to connect and embed the ethical and technical aspects in the design. Using a case-study of a research and development project focused on the use of CAI in storytelling for children, this paper reflects on the social context within a specific case of technology development, as substantiated and supported by argumentation from within the literature. It describes the decision making process behind the recommendations made on this case for their adoption in the creative industries. Further research that engages with developers and stakeholders in the ethics of storytelling through CAI is highlighted as a matter of urgency.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 26 of its 139 references that are in the map. First posted on arXiv 20 Jul 2021.
Builds on
26 of 139 references.
References · 26
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
- 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
- 2020RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Modelscited by 1,235
- 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
- 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
- 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
- 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
- 2019Mitigating Gender Bias in Natural Language Processing: Literature Reviewcited by 287
- 2015A Neural Conversational Modelcited by 195
- 2016A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialoguescited by 174
- 2019Queens are Powerful too: Mitigating Gender Bias in Dialogue Generationcited by 152
14 more
- 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
- 2018Generating Informative and Diverse Conversational Responses via Adversarial Information Maximizationcited by 114
- 2018Neural Voice Cloning with a Few Samplescited by 100
- 2019Does Gender Matter? Towards Fairness in Dialogue Systemscited by 89
- 2017Deep Voice: Real-time Neural Text-to-Speechcited by 83
- 2019Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combinationcited by 79
- 2017Deep Voice 2: Multi-Speaker Neural Text-to-Speechcited by 75
- 2017Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learningcited by 67
- 2020Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lensescited by 27
- 2019Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLUcited by 13
- 2021An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniquescited by 6
- 2017Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systemscited by 5
- 2018Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot Interaction Studycited by 3
- 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practicescited by 3
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 2.
5 papers.
- 2021Can Machines Learn Morality? The Delphi Experimentcited by 140
- 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Modelscited by 7
- 2024Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Preventioncited by 1
- 2025Once Upon an AI: Six Scaffolds for Child-AI Interaction Design, Inspired by Disneycited by 0
- 2025Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spacescited by 0
- 2025Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spaces21 Oct 2025
- 2025Once Upon an AI: Six Scaffolds for Child-AI Interaction Design, Inspired by Disney11 Apr 2025
- 2024Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention14 Mar 2024
- 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models21 May 2023
- 2021Can Machines Learn Morality? The Delphi Experiment14 Oct 2021