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Generative AI Policy Development

Our focus in on fostering human-centered AI (HCAI) collaboration to combine the strengths of human cognition and artificial intelligence.

AI Policy Governance

AI Governance 

We start with assessing your business processes and seeking feedback from stakeholders. This approach ensures that your organization remains adaptive and responsive to changing needs and industry dynamics. The goal is to prioritize critical problems and areas for improvement in updating strategic plans, governance models, polices and procedures.

AI Innovation Assessment 

Our AI needs, gap, ideas, and risk assessment process utilizes design thinking tools, such as the "Why-How Laddering" and "Sketch Everything" to reframe the assessment challenge from a human-centered perspective to encouraging teams to think outside the box. The current state situation analysis gathers risks and relevant requirements to design the future-state.

AI Disruption Playbook 

We create an engaging playbook using empathy mapping exercises to align AI goals with your team needs, pain points, and motivations to drive forward AI implementation and adoption. We use tools, such as "Storyboarding" and "Blueprint, to create a dynamic and interactive playbook that will boost support efficiency and trust across your entire organization.

AI Strategic Planning 

Our AI strategic planning process is a collaborative journey, where every voice is heard, and every idea is valued. Through LUMA's proven methodologies, we foster an environment of team spirit, knowledge sharing, and cross-functional learning, aligning your organization's goals, gaps, and strategies to develop an evidence-based and data-driven strategic plans.

AI Custom Training 

In today's rapidly changing business landscape, successful AI adoption requires more than just technical expertise – it demands a deep understanding of the human elements that drive true organizational change and AI impact. Our custom courses are driven by real-world case studies, group AI projects, and interactive discussions, and hands-on activities.

DR/BC Response Planning 

We use AI should in conjunction with robust disaster recovery plans, skilled personnel, and robust security measures to ensure effective and secure disaster recovery and business continuity (DR/BC) response planning. We leverage AI to enhance DR/BC capabilities, reduce the risk of data loss, minimize downtime, and ensure business continuity.

Align Services, Fortify Engagement

Human-Centered AI (HCAI) Strategy and Governance

There has been a lot of heated debate and wildly divergent viewpoints when it comes to Artificial Intelligence (AI) and its future implications for humanity. Hallucinating AI systems can be fooled or manipulated to produce false or biased outputs. On one side are the utopian optimists who foresee a world where super-intelligent AI ushers in an age of abundance, solves all our problems, and allows humanity to transcend our biological limitations. On the other extreme are the doomsayers who paint an apocalyptic picture of an AI existential threat - a scenario where advanced AI systems become so powerful that they subjugate or even exterminate humanity if effective governance isn't put into place. The reality is that the truth doesn’t lies somewhere in the middle ground between these two polarized perspectives, but in “mutualism” where both AI and humans co-exist and benefit from each other, like bees and flowers.

The Stanford University report "Artificial Intelligence and Life in 2030" was written by a panel of experts across academia, industry, and policy organizations in 2016. It aimed to study the potential impacts of artificial intelligence in a 15-year timeframe leading up to 2030. It took an optimistic "machine humanistics" view of AI's potential by highlighting the need for proactive risk mitigation and sociotechnical alignment of AI systems with human ethics and values. Technology should enhance, not replace, people's natural abilities. Human-centered AI (HCAI) is aiming to address these concerns by putting people squarely at the center of AI development and deployment. HCAI systems can amplify and augment human abilities rather than a "black box" that threatens privacy, promotes bias, and displaces human decision-making. The focus in on fostering human-AI collaboration to combine the strengths of human cognition and artificial intelligence.

Around the United States, cities are increasingly adopting HCAI solutions to transform how they operate and serve citizens. Los Angeles has partnered with AI companies to develop "mobility intelligence" systems that combine human and machine intelligence. These systems analyze traffic data, identify patterns, and suggest optimizations - but final decisions are rendered by human traffic managers providing an added layer of context and judgement. In New York City, urban planners are using AI assistants to rapidly generate visualizations of different development scenarios based on zoning, environmental, and economic factors. However, the humans provide the high-level goals, inspiration, and ultimate curation. Boston has deployed AI-powered chatbots and virtual agents to help handle routine questions and service requests from citizens. The conversational AI aims to be engaging and personalized, while seamlessly routing complex issues to human staff.

A team 26 experts in the field of human-centered artificial intelligence (HCAI) researched for two years to co-author the white paper "Six Human-Centered Artificial Intelligence Grand Challenges" which appeared in the January 2023 edition of International Journal of Human–Computer Interaction. These grand challenges are the result of an international collaboration across academia, industry and government calling for AI systems to be centered on human wellbeing, designed responsibly, respect privacy, follow human-centered design principles, compliance with appropriate governance and oversight, and interacts with individuals while respecting human’s cognitive capacities. These challenges make a good framework for AI adoption and governance for any organization including cities in using AI to augment innate human capabilities.

Responsible, explainable, and human-compatible HCAI systems in cities can provide positive outcomes which are driven by transparent, ethical, unbiased, and compliant with privacy and cybersecurity regulations. Rather than pursuing full automation, cities can be treating AI as a partner by focusing on AI technologies that are aligning with city services, community needs, and social perceptions. By taking this multidisciplinary approach spanning AI, human-computer interaction, psychology, and ethics, HCAI strives to amplify what humans can do rather than replace them. HCAI provides a balanced perspective with human-centered strategies to unlock AI's potential while maintaining human control, accountability, and trustworthiness. As AI capabilities continue to grow, the HCAI approach will be crucial for cities to utilize these powerful technologies ethically and beneficially for their citizens.


1. "Artificial Intelligence and Life in 2030" (Stanford University, 2016), https://ai100.stanford.edu/sites/g/files/sbiybj18871/files/media/file/ai100report10032016fnl_singles.pdf

2. Six Human-Centered Artificial Intelligence Grand Challenges, International Journal of Human–Computer Interaction, 2023, https://doi.org/10.1080/10447318.2022.2153320

Contact us


Align Forte, LLC,
1401 21st St. Ste R
Sacramento, CA 95811


Phone: ‪‪(916) 538-4657