SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The promise and pitfalls of generative AI
6 references·0 citing·32 second hop
The promise and pitfalls of generative AI (2025)The promise and pitfalls of generative AIAssessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values (2024)Assessing the Alignment of La…Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support (2023)Human–AI collaboration enable…Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs (2023)Ethical Reasoning over Moral …Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study (2023)Capacity of Generative AI to …Can AI language models replace human participants? (2023)Can AI language models replac…Humans judge, algorithms nudge: The psychology of behavior tracking acceptance (2021)Humans judge, algorithms nudg…Motivation through the design of work: test of a theory (1976)Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions (2000)Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness (2017)Augmenting Organizational Change and Strategy Activities: Leveraging Generative Artificial Intelligence (2023)Innovative Data – Use-cases in Management Accounting Research and Practice (2023)The Role of Human Managers within Algorithmic Performance Management Systems: A Process Model of Employee Trust in Managers through Reflexivity (2024)Human Compatible: Artificial Intelligence and the Problem of Control (2019)Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? (2023)Out of One, Many: Using Language Models to Simulate Human Samples (2023)Which Humans? (2023)Can Generative AI improve social science? (2024)Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines (2024)The Philosophy of Moral Development Moral Stages and the Idea of Justice (1981)Machine behaviour (2019)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Surprising gender biases in GPT (2024)Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapy (2025)User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions (2025)The Levels of Emotional Awareness Scale: A Cognitive-Developmental Measure of Emotion (1990)Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017)Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy (2019)The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics (2024)Transforming Perceptions: Exploring the Multifaceted Potential of Generative AI for People With Cognitive Disabilities (2024)The Applications of Large Language Models in Mental Health: Scoping Review (2025)Are There Universal Aspects in the Structure and Contents of Human Values? (1994)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis (2025)The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis (2025)AI can help people feel heard, but an AI label diminishes this impact (2024)Mental-LLM (2024)The Opportunities and Risks of Large Language Models in Mental Health (2024)
this work references cited by second hop

References

  • 2023Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support498 cited
  • 2023Can AI language models replace human participants?399 cited
  • 2023Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study127 cited
  • 2021Humans judge, algorithms nudge: The psychology of behavior tracking acceptance80 cited
  • 2024Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values62 cited
  • 2023Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs32 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work