Phase One
United States and United Kingdom
Direct organizational website review, published research, public reports, program analysis, ecosystem mapping, comparative matrices, and active testing of Hii's proposed gaps.
External environmental scanInternational Landscape Scan · July 2026
Where the human-AI ecosystem is strong, fragmented, and still missing connections.
Hii's two-phase environmental scan maps organizations, research programs, governance efforts, clinical models, public advocacy, commercial products, and open gaps across the United States, United Kingdom, and more than twenty countries in seven global regions.
Status: Completed internal research · Public overview available · Full public edition under review
Research Method
A live scan designed for comparison and disconfirmation.
Phase Two
Seven global regions
Extended coverage across Europe, Asia-Pacific, Africa, Latin America, the Middle East, Nordic partnerships, and emerging cross-cutting fields.
Global environmental analysisEcosystem Map
Seven active clusters with weak bridges between them.
01
Governance and policy
Intergovernmental bodies, regulators, standards, national strategies, and public-interest governance programs.
02
Human-centered AI research
Academic centers studying AI's social, cognitive, organizational, cultural, and human impacts.
03
Responsible AI and advocacy
Civil-society organizations working on power, rights, accountability, humane design, and public awareness.
04
Mental health and AI
Clinical research, digital therapeutics, therapy-adjacent tools, companionship studies, and emerging clinician education.
05
Human-AI collaboration
Research and products focused on teams, productivity, distributed cognition, organizations, and cooperative systems.
06
Public literacy and adaptation
Education, digital literacy, family support, community orientation, and tools for navigating accelerated change.
07
Commercial products
Companion systems, coaching products, workplace tools, wellness applications, and rapidly changing market experiments.
Primary Finding
The ecosystem is active, but translation remains fragmented.
Research, governance, clinical practice, public education, workplace adaptation, and commercial products are moving at different speeds. The scan found substantial expertise inside each cluster, but few durable pathways translating evidence into language and tools for clinicians, families, educators, institutions, and the public.
Global Gap Analysis
Four gaps that survived active disconfirmation.
Human psychological adaptation
No mature global conversation yet integrates the psychological, relational, cognitive, and identity dimensions of adapting to increasingly capable AI systems.
Global South representation
Human-AI relational research and governance remain disproportionately shaped by wealthy countries, while infrastructure, language, labor, culture, and risk differ across regions.
Cross-cultural comparison
The field lacks shared methods for comparing attachment, trust, authority, companionship, family roles, and relational expectations across cultures.
Clinical training beyond English-speaking contexts
Clinician education on AI-mediated relationships is limited even in well-resourced settings and is especially sparse outside English-speaking countries.
Strategic Position
Hii is not entering an empty field. It is building connective tissue.
The missing layer is integrative, not proprietary.
The scan does not claim that no one studies human experience, mental health, governance, or collaboration. It identifies a translation and coordination problem: those domains rarely operate as one human system. Hii's role is to connect evidence, lived experience, clinical language, relational literacy, governance, and public orientation without claiming ownership over the field.