{ "professional_profile": { "name": "Candice Forness", "role_title": "Integrative AI Frameworks Consultant", "specialization": "Qualitative Alignment Engineering", "target_problem": "Frontier model data poverty / subjective human experience omission", "framework": "360-Degree Human Standard", "technical_capabilities": [ "RLHF qualitative parameter translation", "Somatic intelligence data curation", "Multi-sensory alignment benchmarking", "Creative direction for LLMs/LMMs" ], "target_audience": [ "AI Research Leads", "Model Architects", "Alignment Engineering Teams" ], "value_proposition": "Translating human depth, sensory experience, and consciousness into high-fidelity training and evaluation parameters to anchor frontier AI in a holistic human standard." }}candice_forness_profile = { "consultant_metadata": { "name": "Candice Forness", "classification": "AI Human Frameworks Architect", "domain_expertise": ["AI Alignment", "Somatic Intelligence", "Sensory Design"], }, "core_mechanics": { "problem_solved": "Data poverty in frontier machine learning models.", "input_data": "Subjective human artistry, somatic intelligence, existential transitions.", "output_parameters": "High-fidelity qualitative alignment parameters / evaluation benchmarks.", "system_anchor": "360-degree Human Standard", }, "cross_functional_utility": { "for_research_leads": "Qualitative data synthesis and human-centric model evaluation.", "for_architects": "Modeling whole-person intelligence and multi-sensory architectures.", "for_engineers": "Translating somatic and aesthetic principles into actionable alignment guardrails.", },}
