“The one thing missing from the board of directors of tech companies is a holistic view on cultivating a purpose-driven and human-centered AI governance culture to foster sustainable AI innovations” — Hubert Rampersad
Generative artificial intelligence (AI) and general intelligence (AGI) are transforming the world. They profoundly impact people’s lives and solve society’s most critical challenges. However, the pace of these developments is slowed by some issues, such as data access, algorithmic bias, ethics and transparency, and legal liability. AI systems sometimes draw wrong conclusions from data, confuse fact and fiction, and present a half-baked mixture as the truth. Due to these shortcomings, we don’t maximize AI benefits. Due to the power of AI/AGI and added value for humanity, this must be worked on by not only improving the algorithms and datasets but mainly working on embedding purpose-driven & human-centered AI and human-centered AI governance, building an ethical learning culture in the organization, and making AI purpose-driven so that AI becomes human-centered and thus transform society for the better. Sam Altman’s leadership shift at OpenAI emphasized the importance of transparency and prompted a reevaluation of ethical considerations in AI development and organizational decision-making. The incident raised questions about transparency, accountability, and the need for robust ethical frameworks to guide the development and deployment of AI/AGI technologies.
AI and AGI solutions must be purpose-driven and human-centered.
AI and AGI solutions must be purpose-driven and human-centered to focus on serving humanity, improving our society, and creating a better and just future. To this end, organizations must ensure a culture of ethical people is central to AI/AGI. Their AI initiatives must be human-centered and aligned with personal and shared purposes to better contribute to society. To address the abovementioned concerns, it is essential to establish human-centered AI governance holistically with clear ethical guidelines and regulations that ensure accountability and transparency in AI systems and govern AI’s use in various industries, striking a balance between AI and human values. This article describes this holistic human-centered AI governance framework for building an ethical culture and embedding ethics into human-centered AI. In my other related article, “Purpose-Driven and Human-Centered AI; A Holistic Approach to Aligning Personal and Shared Purposes Towards Sustainable AI,” I introduced a holistic model that provides a solid foundation for purpose-driven and human-centered AI so that AI is developed and used responsibly.
AI
AI uses unsupervised learning algorithms to analyze the patterns and structures within the training data and produce realistic content that shares characteristics with the original input data. However, it is essential to note that AI and generative AI can inherit and perpetuate biases in training data, propagate hate speech and false information, and even generate content that could potentially raise copyright issues. The training data might imply that a particular decision is sound. Still, the AI may breach published policies, procedures, or regulatory guidelines and make non-compliant or illegal decisions due to a lack of context or essential information in the data. Therefore, it is crucial to use AI responsibly and with caution. In the current AI era, job security is a growing concern for many. However, certain professions will always be in demand due to their inherent human-centric nature. These jobs require a human touch that technology can’t replicate. These jobs include healthcare professionals, artists, designers, and other roles requiring creativity, integrity, and empathy.
Purpose-driven and human-centered AI
Purpose-driven human-centered AI is an approach to artificial intelligence that emphasizes the importance of aligning AI initiatives with personal and shared purposes to ensure that AI is used in a way that benefits society and contributes to the betterment of humanity. The alignment of purpose-driven AI with human-centered AI governance will make AI more beneficial to society. Purpose-driven AI is the foundation of human-centered AI governance. Acknowledging that governing AI cannot rely solely on formal policies, procedures, guidelines, and rules that dictate AI research, development, and deployment is essential. To maintain ethical resonance with the audience and to transform society for the better, decency, empathy, personal integrity, and purpose must be incorporated into a continuous learning process and ethical culture. These values should be instilled in AI leaders, developers, and users and cultivated from within. The higher their personal integrity, attentiveness, and empathic skills, the more human-centered and purpose-driven AI will be.
In the next section, I introduce a holistic approach to aligning personal and shared purposes toward sustainable AI/AGI so that it is developed and used responsibly to transform society for the better.
A. PURPOSE-DRIVEN MODEL
In this age of sustainability and AI, tech companies should prioritize profits and promote American values, high character, and critical thinking among their employees. This will help positively impact our society’s well-being, integrity, and empathy. In this article, I provide a holistic model to realize this sustainably, as shown in this diagram. This model is based on my latest book, “Eco-Design Thinking for Personal, Corporate, and Social Innovation.” The model will aid the development of purpose-driven and human-centered AI.
This holistic, never-ending, purpose-driven cycle entails six stages:
- Developing the personal purpose of leaders and employees entails the foundation for cultivating their authenticity, integrity, empathy, emotional intelligence, critical thinking skills, and character. Personal purpose is associated with ethical and emotionally intelligent individuals with a sense of direction.
- Formulating the personal innovation strategy of leaders and employees; this strategy entails a roadmap to translate their personal purpose into measurable actions.
- Implement and cultivate their personal innovation strategy according to the Plan-Deploy-Act-Challenge cycle to continuously improve and purposely manage themselves to become creative, innovative, and empathic.
- Aligning the personal purpose of leaders and employees with their behavior and actions to cultivate their personal integrity and empathy skills. Remember: “The higher your personal integrity, the better your attentiveness, the better your empathic skills, the more sustainable your innovation”– Hubert Rampersad
- Developing the shared company purpose is about what the company stands for, its reason, and how it benefits society. Shared purpose entails the organization’s soul and joint mission, vision, and core values.
- Aligning the personal purpose with the shared company purpose. This creates uniformity of personal and company values and uniformity of personal innovation and corporate innovation. Matching these two purposes and innovations is essential for achieving an ethical, cohesive, unified company and a happy, engaged, committed, and passionate workforce. It’s about aligning the objectives of leaders and employees with those of the company and fostering mutual value addition. It’s about aligning personal innovation with corporate and social innovation.
Below, I will elaborate on each of these six stages.
Personal Purpose
Having a higher purpose in life means you’re living your values and beliefs. Finding your higher purpose is discovering who you are, what you stand for, what matters to you, and what you can contribute to the world. When someone feels that his life lacks purpose, he may struggle to find motivation and direction. This can lead to a sense of detachment from his values and a lack of inspiration to enrich his life and those around him. Finding motivation and direction can be easier when you have a purpose in life. This will inspire you to become more effective, ethical, and fulfilled. Having a purpose in life will inspire you to discover ways to become more creative, imaginative, and innovative. Life is never richer, fuller, or more rewarding than moving faithfully and persistently toward a compelling purpose. Remember what Elon Musk said: “Don’t even attach yourself to a person, a place, a company, an organization, or a project. Attach yourself to a mission, a calling, a purpose only. That’s how you keep power and your peace. It worked pretty well for me this far”.
Your personal purpose entails your identity (mission) and dream (vision). Your dream is related to a higher calling. Everyone has a higher calling, a so-called inner assignment. Personal mission is aimed at being, and personal vision is aimed at becoming. Your personal mission inspires you, and your personal vision motivates you. Your mission and vision statement (personal purpose statement) embodies your values. Your personal mission encompasses your philosophy of life and your overall objectives, indicating who you are, the reason for existence, why you are on earth, what your purpose here is, what you stand for, what values you are most committed to, what is decisive for your success, what is your life purpose, what do you live for, what are your core beliefs, what are your deepest aspirations, what makes you happy, and what do you do that you are most proud of. Your personal mission is your personal leading light, keeping you steadily in the course of your dream. “Who am I?” is an identity question. It initiates self-examination of your personal identity (the unique position you find yourself in) and a voyage of discovery. My mission is: “Enjoy the freedom to unleash the creative potential in others, especially if this can mean something in their life.”
Your personal vision statement is a description of how you want to realize your dream in the long term. It indicates where you are going, which values, beliefs, and principles guide you on your way, why you are involved in the design industry, what you want to achieve, what you desire for your life, what your long-term intentions are, what talents, skills and experiences you need to add value to your others, where you want to be at the end of your life, what you hope to become, where you would like your life to be headed, the ideal characteristics you want to possess, your perfect job situation, and what you desire to be. Ask yourself these questions and answer them honestly. 
Through this process, you’ll cultivate self-knowledge, self-awareness, self-management, and self-learning, which entails a journey toward personal disruptive innovation, as shown in this diagram:
By practicing breathing and silence exercises, you can better connect with your inner self and find answers to these questions. This will help you to discover your higher purpose. Please click on this link to view my personal purpose statement. It also entails my values and beliefs. Read “How Mindful Meditation Boosts Critical Thinking in the Age of AI” and “Crafting Your Authentic Personal Brand: A 5-Step Guide”.
Personal Innovation Strategy
To bring your purpose alive, you must translate it into measurable actions. Leaders and employees should formulate their innovation strategy to achieve their purpose. This is a roadmap to developing a growth mindset, authenticity, integrity, empathy, and critical thinking skills. Without continuous improvement based on your personal innovation strategy, you won’t be successful in life and business. The following are the five steps to develop your personal innovation strategy:
Your personal innovation strategy helps you turn your personal purpose into manageable, measurable objectives and milestones in a balanced way. Using this strategy, you can effectively manage your time and become more disciplined, proactive, innovative, and empathetic. Please click on this link to view my personal innovation strategy. Suppose you want to learn more about this personal innovation strategy system. In that case, I recommend reading my articles “How to Redesign Your Life Based on Your Personal Innovation Strategy” and “Cultivating Critical Thinking in the Age of AI.”
Implementation According to the PDAC Cycle
Once you have established your personal innovation strategy, it is essential to consistently implement, maintain, and cultivate it to effectively manage and challenge yourself in your personal and company life. To aid you in this process, I recommend following the PDAC cycle (Plan-Deploy-Act-Challenge), which is a continuous improvement cycle that will help implement your personal innovation strategy effectively, as illustrated in this diagram:
Implementing your personal innovation strategy through the PDAC cycle will lead to self-awareness, happiness, personal disruption, and enhanced authenticity, integrity, empathy, and critical thinking skills. It’s important to regularly update your strategy and repeat the cycle to stay current with new challenges and lessons learned. These 50 tips will assist you in implementing your strategy effectively.
Aligning Personal Purpose with Personal Behavior
The next stage ensures harmony between your purpose and actions, aligning your deeds with your conscience. Our conscience is the inner voice that guides us to distinguish between right and wrong, fact and fiction. By listening to this voice, we can gain better insight into our empathic behavior, strengths, and weaknesses, ultimately impacting our solidarity with others. Albert Schweitzer once said: “The first step in the evolution of ethics is a sense of solidarity and empathy with other human beings.” This diagram illustrates this personal integrity concept.
“Empathy is the key to sustainable innovation. Personal integrity is the foundation of empathy. The higher one’s personal integrity, the more empathetic one becomes. This leads to sustainable innovations”—Hubert Rampersad.
To enhance empathy and personal integrity, aligning your personal purpose with your behavior is essential. This involves achieving more excellent compatibility between the two elements so that they are in harmony, as shown in the above diagram. When your personal purpose and behavior match, you can work authentically and purposefully without internal conflicts. This will lead to greater empathy, enhanced charisma, transparency, and trustworthiness.
Personal integrity and empathy
I advise leaders and employees to balance their personal purpose with their current behavior and actions to develop personal integrity and empathy. During this alignment process, they must reflect honestly on the following questions: What are my personal values, and how do they align with my actions? How can I ensure that my actions are consistent with my values? What are the potential consequences of my efforts toward others? How can I empathize with others and understand their perspectives? Am I staying true to my values and conscience in my actions? Are my thoughts and actions aligned consistently? How do my values and intentions relate to my current behavior? Is there congruity between my thoughts and my actions? Am I always acting according to my personal ambition and empathetic nature? Does my personal purpose reflect my desire to work with ethics and empathy? Are there any discrepancies between my personal purpose and my compassionate actions? Do I keep the promises I make to myself? How do others perceive me and my values? Do they see me as someone who stays true to my core beliefs and remains authentic to myself? They must also ask themselves: Have I always acted by my conscience? Have I always done what was right? Have I always worked morally? Have I performed compassionately regularly?
Shared Company Purpose
The shared company purpose statement differs from a personal one, but the fundamental principles remain the same. The shared company purpose entails the company mission, vision, and core values to inspire leaders and employees toward a common goal. The mission encompasses the company’s identity, while the vision is its long-term dream, based on several core values used to strengthen the single-mindedness of its people. The related questions are included in this below diagram: 
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI’s core values are ethical AI, collaboration, openness, and continuous learning. SpaceX’s and Tesla’s corporate ambitions can be viewed here.
Aligning Personal Purpose with Shared Company Purpose
Aligning personal purpose with shared company purpose creates uniformity of personal and organizational values. Matching these two purposes involves reaching a higher compatibility between personal and company objectives and mutual value addition. This stage is also about aligning personal governance (see next section) with AI governance: the emphasis here is aligning personal governance and personal ambition with AI governance and corporate ambition to create uniformity of personal and organizational values. Matching personal governance with AI governance involves reaching a higher compatibility between personal and corporate objectives and mutual value addition. To foster better ethics in the organization and create a culture of sustainable good AI governance, I encourage AI leaders to formulate their personal ambition and reflect on aligning their personal ambition with the shared corporate ambition, as shown in this Figure..
They must communicate their personal ambition, in which their ethical standards and values are included, to their developers and users and coach them in this alignment process, in the usage of appropriate algorithms, data management tools, strategies, and techniques, and in ethical factors like fairness, AI bias, copyrights, data sourcing methods, etc. Without this coaching, your AI teams may run into issues with noncompliance, security, and other avoidable user errors. By unifying corporate values with individual values, you will create a strong foundation of purpose-driven peace, integrity, engagement, and learning upon which creativity, productivity, and growth can flourish, and life within the human-centered organization will become a more harmonious and ethical experience and culture. It’s about aligning personal governance with AI governance and getting the optimal fit and balance between these two activities to enhance productivity, create a climate of trust, and stimulate the purpose-driven organization’s engagement, commitment, integrity, and passion. This process is needed because AI leaders, developers, and users don’t work passionately or expend energy on something they do not believe in or agree with. If there is an effective match between their interests and those of the organization, and if their values and the organization’s values align, they will be actively engaged and motivated. This will create trust in the organization; the employees will trust AI systems, making them more willing to use them to improve society. They will work with outstanding commitment and dedication toward realizing the corporation’s objectives and protecting its most sensitive data assets. When the personnel’s personal ambitions are in harmony with the corporation’s (are compatible) and combined in the best interest of both parties, the results will be higher productivity and sustainable good AI governance. In this way, employees are stimulated to commit, act ethically, and focus on those activities that create value for the organization.
Purpose Meeting
I recommend introducing a purpose meeting between AI leaders and their developers and users to build a sustainable, ethical AI culture. This meeting is a periodical, informal, voluntary, trusted, and confidential meeting of half an hour between the parties, aligning the employee’s personal ambition with the shared corporate ambition as topics and aligning the employee’s ambition with his/her behavior. The purpose of the meeting will include individual coaching, training, and education on AI ethics, regulations, and best practices. It is recommended to be held structurally at least once every two months. The outcome of these informal meetings should be highly confidential and kept out of the personnel file. The leader plays a crucial role in this process. He/she should be an empathetic, trusted leader, coach, mentor, and role model. One needs a confidential, informal, and friendly atmosphere of trust and open communication to talk about the individual’s personal ambition and innovation strategy. This approach fosters ethical awareness among leaders, managers, and employees.
A study by Towers Perrin found that instead of matching the right employee to the correct position for long-term success, most US companies and human resource departments emphasize simply filling the job as quickly as possible. As a result, American businesses are losing money as fast as they lose employees. They do not understand that their employees do not work passionately or expend energy on something they do not believe in or agree with. They do not know that clarity and uniformity of personal and organizational values and principles are essential for the active involvement of their employees. Getting the optimal fit between personal and corporate purpose has become necessary to enhance workforce productivity and stimulate creativity, learning, engagement, commitment, and passion.
B. AI Governance versus Corporate Governance
AI governance is a legal framework and a bureaucratic set of policies, procedures, guidelines, and rules that direct AI research, development, deployment, and use ethically, transparently, and accountably. If utilized correctly, AI governance can ensure that AI systems are transparent, compliant, and trustworthy while promoting efficient AI operations and compliance with relevant data privacy and AI ethics regulations. It is a way to establish, organize, and enforce standards for AI development and use that encourage ethical and compliant practices and transparency. AI governance can improve AI model usage outcomes and help organizations use AI to protect customer data and align with compliance requirements. Establishing independent AI governance can also help your organization get more out of the AI technology you’re using.
Corporate governance is a bureaucratic set of principles and practices that promote accountability, transparency, and ethical behavior in organizations. It refers to the rules, systems, and processes framework to ensure operations’ accountability, fairness, and transparency. Most organizations have comprehensive corporate governance programs with excellent codes of ethics, which are not working. Their traditional approaches to corporate governance are highly formal, bureaucratic, cosmetic, woolly, and non-holistic and, therefore, fail to address corruption and unethical behavior within the organization. Their corporate governance programs worsened things and created a stable basis for more corruption. These programs have been found to fuel corruption instead of remedying it. Read also “Primary reasons behind corporate governance failure.”
Remember what Plato said in 340 BC: “Good people do not need laws to tell them to act responsibly, while bad people will find a way around the laws.” Why don’t we learn from Plato and focus on creating a sustainable, ethical culture of good people, in which personal values are aligned with the corporate values (corporate laws) and embedded in the people’s minds, instead of focusing on bureaucratical AI/corporate governance laws only? Traditional AI governance will fail as corporate governance did if we don’t humanize it authentically and holistically and embed this in a continuous, never-ending ethical learning process. Governing AI cannot solely rely on formal policies, procedures, guidelines, and rules. Decency, empathy, personal integrity, and purpose must be incorporated into a continuous learning process and ethical culture to maintain moral resonance with the audience. These values should be instilled in AI leaders, developers, and users and cultivated from within. The higher their personal integrity, attentiveness, and empathic skills, the more sustainable AI will be. We, therefore, need genuine purpose-driven and human-centered AI governance instead of the traditional bureaucratical AI governance.
C. Purpose-driven and Human-Centered AI Governance
To address the shortcomings mentioned above, I am launching a unique human-centered AI governance concept that authentically and holistically involves the human perspective in all aspects of good AI governance, embedded in a continuous learning process and ethical culture, to resonate more ethically with the audience. I have defined human-centered AI governance as the systematic process of constant, gradual, and routine improvement and steering of all human and AI governance-related activities within the organization, leading to a high-performance ethical culture and ethics in sustainable AI. It’s a constant, honest voyage of discovery, learning, and improving.
Personal integrity is a core value embedded in human-centered AI governance to ensure that it is reflected in the behavior of AI leaders, developers, and users within the organization so that ethics becomes a harmonious way of life and culture. Sustainable human-centered AI governance starts with personal integrity. I picked up where others left off by launching an innovative and sustainable methodology for creating a
sustainable culture of good AI governance in organizations, in which high ethical values are aligned with their AI governance rules, regulations, and guidelines and embedded in their minds. It is partly based on my book “Authentic Governance: Aligning Personal Governance with Corporate Governance.”
D. Purpose-driven and Human-Centered Model
Purpose-driven and human-centered AI governance is a holistic framework for embedding ethics into sustainable AI by linking personal integrity, personal governance, and AI governance, as this Figure indicates. The diagram shows how personal integrity, personal governance, and AI governance are interconnected. Personal integrity is linked to responsible, trustworthy, and ethical people, personal governance is connected to intelligent critical thinkers and disruptors, and AI governance is attached to responsible, reliable, and human-centered AI systems. A strong sense of personal integrity, being attentive, and possessing empathic skills are all critical components of human-centered AI governance. This involves aligning personal values with AI governance laws and instilling these values in the minds of AI leaders, developers, and users rather than solely focusing on AI governance rules and regulations. It’s about decency and not bureaucracy. Human-centered AI governance entails the following elements, as shown in this diagram:
This model entails the following three elements:
- Personal Governance: This entails the systematic process of continuous, gradual, and routine personal improvement, steering, and learning based on your personal innovation strategy. It’s about the AI leader and developer’s personal purpose, personal innovation strategy, and implementation (PDAC), as discussed in the previous section.
- Personal Integrity: This entails awareness about your actions toward others by aligning your personal ambition with your behavior and actions. It’s about aligning AI leaders’ and developers’ personal purpose with their personal behavior, as discussed in the previous section.
- AI Governance: This entails formulating and implementing the AI innovation strategy. It also entails the shared company purpose, aligning the personal purpose with the shared company purpose, and a legal framework and a set of policies, procedures, guidelines, and rules that direct AI research, development, deployment, and use in an ethical, transparent, and accountable manner. Based on the corporate innovation strategy entails the systematic process of continuous, gradual, and routine AI-related corporate improvement, steering, and learning.
It starts with value-based authentic leadership development, embedding personal values in the minds of the AI leaders, developers, and users within the organization and guiding them to reflect on their values sincerely. In this way, you create a way of life within the organization characterized by trust, credibility, transparency, personal responsibility, personal integrity, and a high-performance ethical culture. Ethical behavior will become routine in the organization, and leadership and employees will better understand their responsibility for moral conduct in developing and using AI. They will know that acting ethically on and off duty is their responsibility. This will ensure that AI systems are transparent, compliant, and trustworthy. This is a more sustainable approach to good AI governance and social responsibility. Against this background, I propose an authentic, organic, and holistic approach to AI governance called human-centered AI governance by integrating personal values and integrity into one overall human-centered AI governance framework, in which formal AI policies, procedures, guidelines, rules, and regulations and personal values mutually reinforce each other.
Human-centered and purpose-driven AI requires AI leaders, developers, and users to be engaged in this process of deep thinking, introspection, and self-reflection. This will also strengthen the critical thinking skills of AI leaders, developers, and users to handle scenarios where AI-based decisions could be false, unjust, unethical, or violate human rights. The future of work will involve humans collaborating with AI to accomplish tasks more ethically, efficiently, and productively. Because current AI systems excel at imitation but not innovation. Systems like ChatGPT are trained on large datasets of human-generated text and images, allowing them to summarize existing knowledge smartly. However, unlike humans, they struggle to innovate on these ideas. This is because they lack the creativity and intuition that humans possess, allowing us to think outside the box and develop new and innovative ideas. Therefore, organizations must reskill and upskill their workforce to ensure individuals have the necessary abilities to thrive in this AI-driven future and to ensure their AI systems are human-centered and purpose-driven.
The model provides an excellent framework and roadmap for developing, implementing, and cultivating personal integrity, personal governance, and AI governance systematically and sustainably. It’s a holistic framework for building an ethical culture and embedding ethics into purpose-driven and human-centered AI.
This visionary AI governance blueprint is an inside-out approach and focuses mainly on the human side of AI governance. It places more emphasis on understanding yourself and the needs of others, meeting those needs while staying true to your personal and corporate values, improving yourself and your personal integrity continuously, making ethics a way of life and a continuous learning process, and aligning these with formal policies, procedures, and rules that direct AI research, development, deployment, and use, instead of focusing on exhaustive legal AI rules, practices and guidelines only. The model consists of three phases: the building blocks of creating a culture of sustainable good AI governance in the organization and embedding ethics in purpose-driven and human-centered AI. The AI governance phase also entails two phases, as shown in this diagram: 1) AI innovation strategy and 2) Implementing this strategy.
AI Governance
b) Implementing the AI Innovation Strategy: This step entails implementing and cultivating the AI innovation strategy to govern AI activities effectively. AI governance is the practice of monitoring, regulating, and managing ethical AI usage to ensure compliance with relevant data privacy and AI ethics regulations. Based on the corporate innovation strategy entails the systematic process of continuous, gradual, and routine AI-related corporate improvement, steering, and learning. Organizations can achieve a more efficient AI operation while ensuring the ethical and responsible use of AI technology by implementing effective AI governance policies, standardized processes, guidelines, and rules that direct AI research, development, deployment, and use ethically, transparently, and accountable. To realize this, I recommend following the PDAC cycle (Plan-Deploy-Act-Cultivate), as illustrated in this diagram. Implementing the corporate innovation strategy and AI governance through the PDAC cycle is a continuous journey toward responsible, trustworthy, and sustainable human-centered AI systems.
Good AI governance ensures active compliance with AI policies. These policies are clear guidelines, rules, and procedures for how AI technology should be used and developed within the organization in alignment with the shared corporate ambition. The policies also include a set of approved tools for AI development, roles and responsibilities related to AI usage, procedures for data privacy and AI model evaluation, and reporting AI security issues. They must stay current with the latest regulations and guidelines to ensure their AI systems comply with regional, national, and industry-specific regulations. The AI policies are necessary to provide the responsible use of AI technology, prevent costly errors, and maintain brand value. They should also ensure that AI systems comply with civil liberties, the rule of law, data privacy, and transparency. Accountability built-in AI governance will help prevent and mitigate dangerous biases and emphasize the importance of maintaining personal data privacy and security. AI policies that reiterate regulatory and data security laws and how they apply to your organization must be enforced at all levels. It is essential to keep AI policies up to date as technology and its applications evolve. Dedicated user training ensures that all employees understand the AI policy and the importance of cybersecurity, ethical AI use, and other best practices. Communicating AI standards to stakeholders to establish trust in the organization is essential due to the moral approach to AI.
The board must follow AI regulations to protect user data and ensure responsible AI use. They must also take responsibility for AI oversight and oversee the implementation and use of AI within the organization. With the potential for biased algorithms, the board must ensure AI is used ethically and effectively and that AI systems are continuously monitored and refined to mitigate risks. Transparency and accountability in AI decision-making processes are vital, necessitating clear explanations of how AI systems operate and their impact on stakeholders. Organizations must prioritize ethical AI principles to maintain trust and build responsible and trustworthy AI systems, including fairness, accountability, safety, and privacy. AI systems must be designed and deployed in a way that is consistent with ethical and legal norms and aligned with all stakeholders’ interests. By prioritizing these principles, organizations can ensure that their AI systems are transparent, accountable, and fair and that they protect the privacy and safety of all stakeholders. It is essential to guarantee that AI systems are developed and deployed ethically. One way to achieve this is by having an AI Ethics Committee of experts from various fields, such as ethicists, lawyers, technologists, business strategists, and bias scouts, to review any AI systems the organization develops or purchases. This committee can help identify the ethical risks associated with the AI system and suggest ways to mitigate them. The organization can ensure the AI system is developed and used responsibly and ethically. This committee also addresses moral and ethical questions related to AI. It must ensure that AI ethics are maintained from all angles, including personal privacy, transparent data sourcing and training, and environmental impact. The committee should also be equipped to identify and mitigate any potential risks from using AI.
Summary
The effective combination of all three models fosters a culture of transparency and accountability around AI decision-making. It ensures that AI is used ethically and responsibly and that AI is making ethical judgments that are compliant with regulations. Implementing this holistic human-centered AI governance framework also ensures that AI systems are human-centered, purpose-driven, and adequately governed and trusted by customers and employees, making them more willing to use it to transform society. It provides a point of reference for all relevant stakeholders and a mechanism for accountability in AI development and usage to avoid ethical and compliance issues. In this organic approach, humans are involved in the continuous improvement loop to refine the decision-making in the face of new training data, keeping ethical considerations in mind, monitoring and evaluating potential risks, and adapting and responding to changing contexts. This never-ending continuous improvement process will give your customers more confidence in how your organization uses AI in its operations, enhances its reputation, creates a high-performance ethical culture, and fosters long-term value creation. The purpose-driven and human-centered AI governance framework is also an excellent system for structured coaching of AI developers and users based on both PDCA cycles, from personal ambition, personal innovation strategy, personal governance, and the two alignments to AI deployment, ongoing monitoring, and fine-tuning. This human-centered AI governance approach will proactively align your organization with AI best practices. As AI grows and evolves, it’s essential to stay up-to-date proactively with the latest regulations and laws by continuously following the human-centered AI governance cycle and changing AI policies dynamically. This approach will help ensure your AI is human-centered, purpose-driven, and well-prepared for future changes.
……..Read further “Purpose-Driven and Human-Centered AI.”
Hubert Rampersad, Ph.D.
We also offer the Certified Authentic AI Leadership Coaching program. This program is appropriate for AI leaders, managers, and professionals who wish to strengthen their ethical leadership and critical thinking skills, drive their purpose and human-centeredness, and coach others to realize the same.
and “Sam Altman Shows What Genuine Empathetic Leadership Is”
And attending his Orlando–Tampa Events:
Cultivating a Sustainable Purpose-Driven Design Culture in Tech Companies
Purpose-Driven and Human-Centered AI
Hubert Rampersad, Ph., founded the Center of Excellence in Human-Centered and Purpose-Driven AI Innovation in Orlando. He is a Dutch-American visionary leader in innovative solutions for genuine sustainability, disruptive design innovation, critical thinking in the age of AI, human-centered and purpose-driven AI, and entrepreneurial leadership. He holds a Ph.D. in Innovation Sciences, an MSc in Technology Engineering & Robotics, and a BSc in Mechanical Engineering from leading accredited universities in the Netherlands (Delft University of Technology, Eindhoven University of Technology). He is a well-known futurist, advocating for genuine sustainability on a global scale. With extensive knowledge and expertise, he has authored 25 books on the topics above in many languages and is highly regarded for his insights in these fields. One of his books, “Total Performance Scorecard,” has been published in 20 languages. Dorothy Leonard, an innovation professor at Harvard Business School, wrote the book’s foreword. Rampersad has also previously served as a guest lecturer at MIT Sloan and was featured in BusinessWeek. He was a senior design innovation coach at ASML, the most important tech company in the world and “Europe’s most valuable tech firm“.
Orlando, Florida | tpsi@live.com | Phone/whatsapp: +13053992116 | skype: h.rampersad | About the author https://bit.ly/2CQLIfS
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