Consultation and Training Opportunities
Richard J. Evangelista, Ph.D.
The Human–AI Interface: Working With Intelligent Systems
How can people benefit from artificial intelligence while preserving judgment, autonomy, meaningful relationships, and psychological well-being? Richard Evangelista’s consultation and training interests center on the Human–AI interface: how people understand, communicate with, rely on, and collaborate with intelligent systems.
Drawing on his background in clinical and research psychology and information-management leadership, Dr. Evangelista brings a dual perspective to address these questions. His focus connects the human experience of technology with the practical design of systems, responsibilities, and work processes. Areas of interest span DigitalAgePsychology’s discussions of digital well-being, professional boundaries, privacy, safeguards, AI collaboration, prompting, tool selection, and personal assistants.
A Practical Focus: Technology That Supports Human Capability
Effective AI use involves more than obtaining a useful answer. It requires deciding when assistance is appropriate, what information to share, how to evaluate the result, and which responsibilities should remain human.
For example, a professional using an AI assistant to prepare a report may benefit from help organizing information and drafting material. The broader questions concern whether the sources are dependable, confidential information is protected, the conclusions fit the situation, and the professional remains able to explain and take responsibility for the work.
Consultation would explore these relationships rather than exclusively focus on product features or technical efficiency.
Consultation Opportunities
Consultation may begin with an individual concern, a professional practice question, or an organizational use case. Potential areas include:
Human judgment and trust: evaluating AI output, recognizing limitations, and setting appropriate boundaries around reliance.
Communication and collaboration: improving instructions, feedback, and the division of responsibilities between people and AI.
Digital well-being: examining how technology use relates to attention, coping, self-understanding, emotional reliance, help-seeking, and everyday functioning.
Privacy and autonomy: considering information sharing, consent, meaningful choice, and control over AI-assisted activities.
Professional and organizational safeguards: clarifying oversight, review, accountability, escalation, and responsible use in helping settings.
Tools, assistants, and agents: selecting suitable assistance and deciding what a system may access, prepare, change, or carry out.
These opportunities bring together the psychological and practical concerns reflected in the website’s Digital Well-being and Mental Health along with the AI and Human Interaction topics.
Training and Facilitated Learning
Potential formats include introductory presentations, interactive workshops, small-group discussions, and consultation with implementation follow-up. Topics could be selected or combined around participants’ needs:
Working with AI without giving up judgment.
Designing responsible Human–AI workflows.
Choosing and evaluating AI tools and personal assistants.
Supporting well-being, privacy, and human connection in digital life.
Establishing appropriate boundaries in professional and helping relationships.
A workshop might follow one task from initial purpose through instructions, AI assistance, human review, and final use. Participants could develop a practical plan specifying the intended benefit, permitted information, review responsibilities, and conditions for changing or discontinuing the approach.
Who May Benefit
These opportunities may be relevant to independent professionals, educators, helping professionals, organizational leaders, community groups, and adults seeking a clearer understanding of AI in everyday life.
The approach is educational, research-informed, and adaptable. Consultation would distinguish established evidence from emerging possibilities and would not promise that a particular tool or framework will improve well-being or performance. Educational consultation is separate from individualized psychological assessment or treatment.
Initial inquiries can help identify whether a focused discussion, a single workshop, or a more sustained consultation would be appropriate. Scope and format would be developed collaboratively rather than requiring participation in a fixed training program.
Practical Companion Guide
Before You Delegate to AI: A Human–AI Task Planning Guide
Use the Sample worksheet and example below to plan one AI-assisted task. Clarify information boundaries, permissions, human review, stopping rules, and how you will evaluate the result.