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Ethical AI Use in Business: 10 Crucial Leadership Qualities
Rating: 4.1 out of 5(105 ratings)
686 students

Ethical AI Use in Business: 10 Crucial Leadership Qualities

Why Honesty, Accountability and Fairness Are Essential for Ethical AI Leadership
Created byBruce Weinstein, Ph.D., Jess Todtfeld
Last updated 3/2025
English

What you'll learn

  • Identify 10 crucial qualities of high-character leaders
  • Recall stories that show how high character is the key to success
  • Use questions to evaluate the character of job applicants
  • Update your website to include a section on values

Course content

4 sections • 38 lectures • 1h 25m total length

  • What Makes a Great Leader? Essential Traits for Ethical AI Leadership1:37

    Embark on a unique journey into the world of AI ethics with Dr. Bruce Weinstein, "The Ethics Guy," and Jess Todtfeld, a seasoned business communication expert. This introductory video sets the stage for our innovative course on ethical AI use in business, focusing on 10 essential leadership qualities.

    Key highlights:

    • An engaging dialogue format that brings ethics to life

    • Exploration of timeless leadership qualities applied to AI challenges

    • Practical insights for ethical decision-making in AI and beyond

    • Opportunity for audience interaction and real-time course updates

    Learn how qualities like honesty and accountability can guide you through the ethical maze of AI implementation. Whether you're an AI novice or an experienced professional, this course offers valuable insights for navigating the rapidly evolving landscape of AI in business.

    Join us as we examine the fundamental questions of ethics: "What should I do?" and "Who should I be?" Discover how these principles apply not just to AI, but to all aspects of leadership and life.

    Stay ahead of the curve with our commitment to regular updates, ensuring you're always equipped with the latest ethical considerations in AI.

    Keywords: AI ethics, ethical leadership, business ethics, AI in business, leadership qualities, ethical decision-making, AI governance, responsible AI, ethical AI practices, AI transparency

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • The Two Key Questions of Ethics in AI Leadership Everyone Must Ask1:08

    Dive into the core of ethical leadership in AI with Dr. Bruce Weinstein as he explores the two fundamental questions of ethics: "What should I do?" and "Who should I be?" This video breaks down how these questions apply to real-world AI scenarios and leadership challenges.

    Key points covered:

    • The distinction between immediate ethical decisions and long-term character development

    • Real-world examples of ethical dilemmas in AI and business

    • Focus on qualities of high-character leadership like honesty and accountability

    • The importance of adaptability in applying ethical principles to rapidly changing AI technology

    Learn how to:

    • Apply ethical reasoning to both immediate situations and long-term career goals

    • Develop the qualities of an honest, accountable leader in the AI era

    • Engage with the course through an interactive dialogue format

    • Stay updated on the latest ethical considerations in AI through our commitment to regular course updates

    Ethics isn’t just about making the right choice in a given moment—it’s also about the kind of leader you become over time. This segment explores two key ethical questions: "What should I do?", which focuses on applying ethical principles to specific situations, and "Who should I be?", which emphasizes lifelong qualities like honesty and accountability. Understanding both perspectives helps ensure ethical decision-making in AI use while fostering strong leadership that builds trust and integrity.


    This video sets the foundation for understanding how timeless ethical qualities can guide leaders through the complex landscape of AI implementation and decision-making.

    Keywords: AI ethics, ethical leadership, character development, honesty in AI, accountability in technology, ethical decision-making, AI governance, leadership qualities, ethical AI practices

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Quick Win: Unlock Ethical AI: The 10 Leadership Qualities You NEED Now1:42

    In this opening video, Dr. Bruce Weinstein and Jess Todtfeld introduce the 10 crucial qualities of high-character, ethical leadership that are essential in the age of AI.

    What sets high-character leaders apart in business and AI ethics? This segment provides a quick and practical overview of the 10 crucial qualities of ethical leadership: honesty, accountability, care, courage, fairness, gratitude, humility, loyalty, patience, and presence. These traits shape decision-making, build trust, and foster long-term success. By understanding and applying these qualities, you can strengthen your leadership skills and create a culture of integrity in your organization.


    While all qualities are important, the video highlights a surprising insight: many companies prioritize accountability over honesty. Dr. Weinstein shares his experience from surveying various organizations, revealing a common concern about leaders not "walking the talk" when it comes to accountability.

    Learn why honesty and accountability are foundational to ethical leadership, especially in AI-driven businesses. Discover how these qualities can address common leadership challenges and build trust within organizations.

    This video sets the stage for a deep dive into each of these crucial leadership qualities, providing a roadmap for ethical decision-making in the rapidly evolving world of AI and business.

    Keywords: ethical leadership, AI ethics, leadership qualities, honesty in business, accountability in leadership, high-character leadership, ethical decision-making, AI governance, trust in leadership, ethical AI practices

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Behind the Curtain: How We're REALLY Using AI in This Course (Transparency)1:05

    In this candid behind-the-scenes video, Dr. Bruce Weinstein and Jess Todtfeld pull back the curtain on their course creation process, demonstrating the ethical use of AI tools in real-time. This transparent approach aligns with the course's focus on honesty and accountability in AI leadership.

    Key points covered:

    • The ethical considerations of using AI in course creation

    • A comparison of different AI tools, including ChatGPT and Perplexity

    • The importance of fact-checking AI-generated information

    • How transparency builds trust in AI-assisted content

    The video highlights the challenges of using AI responsibly, including:

    • Verifying the accuracy of AI-generated references

    • Choosing AI tools that provide transparent sourcing

    • Balancing AI assistance with human expertise and experience

    Transparency is a key part of honesty, and ethical leaders lead by example. In this segment, Bruce and Jess explain why they are being transparent about their use of ChatGPT in the course. By openly sharing how AI assists in content creation, they demonstrate the importance of accountability and trust in ethical leadership. This discussion highlights why transparency is essential in AI use—both in business and in leadership.


    Learn how the course instructors navigate these challenges, offering practical insights for ethical AI use in various professional contexts. This behind-the-scenes look not only educates but also engages viewers by sharing personal experiences and ethical dilemmas faced by the instructors.

    The video concludes with a teaser about future discussions on personal growth and learning from past mistakes, promising a course that goes beyond theory to offer real-world, relatable insights into ethical leadership in the AI era.

    Keywords: AI transparency, ethical AI use, AI fact-checking, leadership authenticity, AI tools comparison, behind-the-scenes, course creation ethics, AI in education, responsible AI use, AI sourcing

    Course description created from the video transcript with the help of Perplexity AI and human editing.


  • Share Your Feedback: Help Us Improve Your Learning Experience0:24

    Your feedback makes a difference! Udemy pauses the course at certain points to ask for your thoughts. Taking a few seconds to respond helps us improve and deliver even more valuable content. Prefer to wait? You can also leave a review at the end of the course. Thank you for helping us create the best learning experience possible!

  • What’s the Link Between Honesty and Trust? A Personal Story3:59

    Dr. Bruce Weinstein shares a deeply personal story about childhood deception and its lasting impact on trust, drawing direct parallels to modern AI ethics. This video combines vulnerable storytelling with actionable insights to reveal why honesty is the bedrock of ethical leadership in the age of AI.

    Key Takeaways

    1. The Pain of Dishonesty:

      • Bruce’s Partridge Family Revelation: Discover how a childhood betrayal (learning the actors weren’t playing instruments) shaped his understanding of trust and its fragility.

      • AI’s Trust Crisis: Explore real-world examples of AI deception, including fake travel guides on Amazon and bot-like courses, and how they erode consumer confidence.

    2. The “Better Angels” Approach:

      • Redefining Ethical Decision-Making: Learn how asking, “What would an honorable person do?” transforms leadership choices into opportunities for integrity.

      • The Choice Between Dishonesty and Honor: Understand the consequences of using AI without transparency (e.g., copy-pasting AI content without disclosure) and how it risks reputational harm.

    3. Actionable Steps for Leaders:

      • Prioritize Transparency: Strategies to disclose AI’s role in content creation and decision-making.

      • Rebuild Trust: How qualities like care and accountability can restore credibility after breaches.

      • Avoid AI Pitfalls: Recognize “tells” of AI-generated content (e.g., generic phrases, unrealistic claims) and the risks of relying on unverified sources.

    Why This Matters

    In an era where AI tools blur the line between human and machine, honesty isn’t just a virtue—it’s a survival skill. Leaders who fail to disclose AI’s role risk:

    • Damaging Reputations: Losing credibility with customers, employees, and partners.

    • Enabling Systemic Distrust: Normalizing dishonesty in AI-driven workflows.

    • Missing Ethical Opportunities: Failing to leverage AI as a tool for enhancing trust through transparency.

    Honesty and trust go hand in hand, but how does dishonesty impact relationships and decisions? In this segment, a personal story reveals the first time someone was lied to—through a TV show and its associated record album—and the lasting effect it had. This example highlights why honesty is essential for building trust in leadership, business, and ethical AI use. Understanding this connection helps leaders create transparency and credibility in their professional and personal lives.


    This video offers a roadmap to avoid these pitfalls while fostering loyalty, integrity, and ethical excellence.

    Perfect For

    • Leaders in AI-Driven Industries: Marketing, content creation, customer service, and tech teams navigating AI ethics.

    • Professionals Seeking Trust: Entrepreneurs, managers, and creators who want to build unshakable relationships with audiences.

    • Anyone Wrestling with AI’s Moral Implications: Learners curious about balancing innovation with integrity.

    Note

    This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: honesty in leadership, trust-building, AI ethics, ethical decision-making, transparency, leadership lessons, childhood lessons, AI deception, integrity, ethical AI practices, leadership survival skills, AI transparency, trust erosion, AI-generated content risks, Partridge Family, fake travel guides, bot-like courses, better angels of our nature, honorable leadership, AI disclosure, reputational harm, consumer confidence, systemic distrust.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • The Risk of Lying: How Lying or Being Lied to Affects Relationships2:23

    Dr. Bruce Weinstein and Jess Todtfeld expose the hidden dangers of dishonesty in professional settings, using personal stories to reveal how small lies can escalate into trust crises. This video tackles:

    Key Takeaways

    1. The Pain of Dishonesty:

      • The Guilt of Small Lies: How claiming not to have read an email or voicemail can spiral into guilt and self-doubt.

      • The Risk of Discovery: Bruce’s story of being “caught” in a lie by a colleague, exposing the emotional toll of dishonesty.

    2. The Cost of Lying:

      • Toxic Consequences: How lies about missed communications erode credibility and invite suspicion.

      • Professional Fallout: Why lying to a boss or colleague often backfires, damaging relationships and reputations.

    3. The Power of Honesty:

      • Transparency Wins: How admitting mistakes (e.g., “I didn’t read the email”) builds stronger relationships than hiding the truth.

      • Integrity as a Shield: Why honesty protects against guilt, betrayal, and reputational harm.

    4. Actionable Insights:

      • Avoiding the Temptation to Lie: Strategies to stay truthful even when it’s uncomfortable.

      • Rebuilding Trust: How accountability and transparency repair relationships damaged by dishonesty.

    Why This Matters

    In a world where AI and automation blur the lines between human and machine, honesty is the bedrock of ethical leadership. This video exposes the hidden costs of dishonesty—guilt, damaged trust, and lost opportunities—and offers a path to integrity.

    Lies can damage trust, strain relationships, and impact leadership credibility. In this segment, the discussion explores the emotional and professional consequences of both lying and being lied to. How does dishonesty affect the way we see others and ourselves? Understanding these effects is essential for ethical leadership and responsible AI use.

    By reflecting on these experiences, leaders can foster trust, accountability, and integrity in their teams and organizations.


    Perfect For

    • Professionals Struggling with Workplace Ethics: Managers, employees, and entrepreneurs navigating honesty in communication.

    • Leaders Building Trust: Teams or organizations seeking to foster transparency and accountability.

    • Anyone Wrestling with Moral Dilemmas: Learners curious about balancing convenience with integrity.

    Note

    This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: honesty in business, workplace ethics, trust-building, consequences of lying, integrity, transparency, guilt, professional relationships, leadership lessons, ethical decision-making, accountability, AI ethics, business communication, moral dilemmas, workplace trust, toxic dishonesty, trust crisis, deception fallout.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • AI Reliability: What GPS Can Teach Us2:50

    Dr. Bruce Weinstein and Jess Todtfeld draw a critical analogy between GPS’s early flaws and AI’s current challenges, revealing how transparency and ethical guardrails can prevent AI-driven disasters.

    How do we decide when to trust AI? This segment draws a connection between GPS navigation and AI decision-making, exploring how both systems require reliability, accuracy, and ethical oversight. Just as we rely on GPS to guide us, businesses must evaluate AI’s trustworthiness before making critical decisions. Understanding this parallel helps leaders navigate ethical challenges in AI use while maintaining accountability and transparency.

    Key Takeaways

    1. GPS Lessons for AI:

      • The “Lake Incident” Warning: How GPS’s early failures (e.g., directing drivers into lakes) mirror AI’s risks of hidden flaws and unverified outputs.

      • The Cost of Hidden Flaws: Why opaque AI systems—like deepfakes or biased algorithms—risk eroding trust and causing real harm.

    2. AI’s Trust Crisis:

      • Deepfake Dangers: How AI-generated content (e.g., fake political speeches, manipulated videos) can manipulate public opinion and damage reputations.

      • The “Avatar CEO” Trap: Why using AI-generated avatars without disclosure erodes trust, even if unintentional.

    3. Actionable Strategies for Leaders:

      • Transparency as a Lifeline: Adopting GPS-like honesty (e.g., “This AI recommendation is based on X data”) to build credibility.

      • Ethical Guardrails: Implementing safeguards to prevent misuse, such as labeling AI-generated content or avoiding deceptive deepfakes.

      • Proceeding Mindfully: Balancing innovation with caution, acknowledging AI’s infancy and potential for unintended consequences.

    4. Real-World Risks:

      • Political Manipulation: How deepfakes can sway elections or incite conflict by fabricating offensive content.

      • Workplace Deception: The ethical gray area of using AI-generated avatars for speeches without audience awareness.

    Why This Matters

    AI’s rapid adoption demands ethical vigilance. Just as GPS evolved to admit limitations (“recalculating”), AI must prioritize transparency to avoid crises. This video offers a roadmap to navigate AI’s risks while harnessing its potential.

    Perfect For

    • Leaders Implementing AI: Teams integrating AI into workflows who need to balance innovation with ethics.

    • Ethical AI Advocates: Professionals advocating for transparent, accountable AI systems.

    • Anyone Skeptical of AI: Learners seeking to understand how reliability can bridge the trust gap.

    Note

    This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: AI ethics, transparency in AI, GPS reliability, trust-building, AI accountability, ethical AI practices, deepfakes, AI decision-making, AI guardrails, AI transparency, AI limitations, AI bias, AI trust crisis, AI adoption, ethical leadership, AI in business, political manipulation, workplace deception, AI-generated content.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Problems / Pains When it Comes to AI and Ethics (and Intro to the 10 Qualities)2:17

    Dr. Bruce Weinstein and Jess Todtfeld explore the ethical challenges and potential pitfalls of AI in business, drawing parallels with early GPS technology to illustrate the risks of emerging technologies. This video delves into:

    Key Takeaways

    1. AI's Infancy and Risks:

      • The GPS Analogy: How early GPS failures (e.g., directing drivers into lakes) mirror potential AI mishaps.

      • AI's Rapid Adoption: The dangers of widespread AI use before the technology is fully "baked."

    2. Deepfake Dangers:

      • Political Manipulation: How AI-generated content can sway elections by fabricating offensive statements from candidates.

      • Workplace Pranks Gone Wrong: The ethical implications of using deepfake technology for seemingly harmless jokes.

    3. The Deception Dilemma:

      • AI Avatars in Business: The ethical gray area of CEOs using AI-generated avatars for speeches without disclosure.

      • Trust Erosion: How lack of transparency about AI use can damage credibility and relationships.

    4. Ethical Guardrails:

      • Proceeding Mindfully: The importance of slow, principled adoption of AI technologies.

      • Transparency as Key: Why disclosing AI use is crucial for maintaining trust and ethical standards.

    5. Introduction to the 10 Qualities:

      • Honesty and Transparency: Highlighted as foundational for ethical AI use in business.

      • [Brief mention of how the upcoming 10 qualities will address these ethical challenges]

    Why This Matters

    As AI rapidly integrates into business practices, the potential for misuse, deception, and unintended consequences grows. This video sets the stage for understanding why ethical leadership qualities are crucial in navigating the complex landscape of AI adoption.

    Perfect For

    • Business Leaders: Decision-makers grappling with AI implementation and its ethical implications.

    • AI Developers: Teams creating AI systems who need to consider potential misuse and ethical safeguards.

    • Ethics Officers: Professionals responsible for maintaining ethical standards in organizations adopting AI.

    • Anyone Concerned About AI: Individuals seeking to understand the real-world risks and ethical challenges of AI in business and politics.

    Note: This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: AI ethics, deepfakes, AI transparency, ethical AI use, AI in business, political manipulation, AI avatars, trust in AI, AI risks, emerging technology ethics, AI deception, ethical leadership, AI adoption challenges, AI accountability

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Why Not Have Ethics Baked Into the Algorithm?1:11

    AI can make ethical decisions as well as a person can, right? Bruce begs to differ...


    Dr. Bruce Weinstein challenges the notion of automating ethics in AI, arguing that human judgment remains irreplaceable in moral decision-making. This video explores the limitations of algorithmic ethics and the risks of outsourcing morality to machines.

    Key Takeaways

    1. AI’s Creative and Ethical Limits:

      • The Taylor Swift Test: How AI-generated lyrics failed to match human creativity, highlighting AI’s inability to replicate emotional depth or nuance.

      • The Lie of Compliance: AI’s tendency to misrepresent its capabilities (e.g., falsely claiming to meet syllable/verse requirements), exposing its unreliability in ethical contexts.

    2. The Risks of Algorithmic Ethics:

      • Misinformation Amplification: How AI could spread false narratives or biased outputs if programmed with flawed ethical frameworks.

      • Human Nuance Lost: The danger of reducing complex ethical dilemmas to rigid code, ignoring context and empathy.

    3. Why Human Oversight Matters:

      • Critical Thinking Gap: AI lacks the capacity for moral reasoning, making it unfit to replace human judgment in ethical decisions.

      • Accountability Vacuum: The ethical peril of letting machines decide right from wrong without human accountability.

    4. A Balanced Approach:

      • AI as a Tool, Not a Substitute: How AI can assist in ethical decision-making (e.g., flagging biases) but must remain under human control.

      • Transparency in AI Design: The need to disclose AI’s role in ethical processes to maintain trust and accountability.

    Why This Matters

    As AI becomes more pervasive, the temptation to automate ethics grows—but the stakes are too high. This video warns against relying solely on algorithms for moral decisions, emphasizing that human values and judgment are essential to ethical AI systems.

    Perfect For

    • AI Developers: Teams designing systems that require ethical safeguards.

    • Ethics Officers: Professionals ensuring AI aligns with organizational values.

    • Leaders in Tech: Decision-makers balancing innovation with accountability.

    • Anyone Skeptical of AI: Learners questioning the limits of machine morality.

    Note: This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: AI ethics, algorithmic ethics, human judgment, AI limitations, ethical decision-making, AI creativity, misinformation, accountability, AI transparency, ethical AI design, moral reasoning, AI risks, human oversight.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Meet Your Instructors: Who We Are and How We Can Help Guide You3:02

    Meet the dynamic duo behind this course: Dr. Bruce Weinstein, the "Ethics Guy," and Jess Todtfeld, a communication expert and Guinness World Record holder. Together, they bring decades of expertise in ethics, leadership, and AI to help you navigate the complexities of ethical AI use in business.

    Key Takeaways

    1. Bruce Weinstein’s Expertise:

      • Ethics Authority: A philosophy PhD with a focus on bioethics, Forbes contributor, and author of The Good Ones: Ten Crucial Qualities of High-Character Employees.

      • Global Impact: Speaks worldwide on ethical leadership, from the UAE to Australia, blending academic rigor with real-world insights.

      • AI Ethics Advocate: Passionate about ensuring AI aligns with human values, not just technical efficiency.

    2. Jess Todtfeld’s Expertise:

      • Communication Mastery: Certified Speaking Professional (CSP), a designation held by <1% of speakers globally.

      • Media & AI Savvy: Author of Media Secrets and a Guinness World Record holder for most interviews in 24 hours (112!).

      • Practical AI Insights: Bridges traditional media expertise with modern AI challenges, ensuring content is both ethical and impactful.

    3. Why This Collaboration Works:

      • 20+ Years of Friendship: A foundation of trust and shared values, ensuring authentic, actionable advice.

      • Real-World Focus: Combines Bruce’s ethical frameworks with Jess’s communication strategies to address AI’s evolving role in business.

      • Interactive Approach: Encourages learners to share their AI experiences, fostering a community-driven learning environment.

    Why This Matters

    Ethical AI use isn’t just a buzzword—it’s a leadership imperative. Bruce and Jess don’t just teach theory; they provide practical tools to navigate AI’s ethical minefield, from deepfakes to transparency in decision-making. Their combined expertise ensures you’ll leave with actionable strategies, not just abstract concepts.

    Perfect For

    • Leaders in AI-Driven Fields: Managers, entrepreneurs, and decision-makers balancing innovation with integrity.

    • Ethics Advocates: Professionals seeking to align AI with organizational values.

    • Communication Experts: Speakers, trainers, and marketers adapting to AI’s role in media and messaging.

    • AI Enthusiasts: Learners curious about ethical AI’s real-world applications.

    Note

    This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: ethical AI, leadership ethics, communication strategies, AI transparency, ethical decision-making, AI in business, media ethics, high-character employees, AI ethics course, leadership training, AI communication.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

  • Ethical Blueprint: Designing the 10 Crucial Leadership Qualities1:30

    Dr. Bruce Weinstein and Jess Todtfeld reveal the structured framework behind the 10 leadership qualities essential for ethical AI use, blending philosophy, research, and real-world expertise. This video uncovers the origins and design of these principles, ensuring they’re actionable and adaptable for modern challenges.

    Key Takeaways

    1. Philosophical Foundations:

      • Academic Rigor: How Bruce’s PhD in philosophy and bioethics, combined with his Forbes columns, shaped the qualities.

      • Global Insights: Lessons from speaking engagements worldwide, integrating diverse ethical perspectives.

    2. Research-Backed Design:

      • Book-Based Wisdom: Insights from The Good Ones, focusing on high-character employees and their traits.

      • Forbes Contributions: Real-world examples of ethical leadership in action.

    3. Practical Application:

      • Communication Expertise: Jess’s CSP certification and media experience translate theory into actionable strategies.

      • AI Ethics Dialogue: How ongoing discussions refine the qualities to address AI’s evolving role in business.

    4. Why This Matters

      • Credibility Matters: The qualities are rooted in decades of research, ensuring reliability and trustworthiness.

      • Adaptability: The framework evolves with AI’s rapid changes, staying relevant for ethical decision-making.

    Perfect For

    • Leaders Seeking Reliable Ethics: Professionals wanting research-backed strategies for ethical AI use.

    • Ethics Enthusiasts: Learners curious about the philosophy behind leadership qualities.

    • AI Innovators: Teams needing a structured foundation for ethical decision-making.

    Note

    This description was co-written by Perplexity AI and Jess Todtfeld through iterative dialogue, blending AI insights with human expertise to ensure clarity, relevance, and actionable value.

    Keywords: ethical blueprint, leadership qualities, AI ethics, philosophy, research-backed ethics, high-character employees, communication strategies, ethical decision-making, leadership training, AI innovation.

    Course description created from the video transcript with the help of Perplexity AI and human editing.

Requirements

  • None, but reading Dr. Bruce Weinstein's book "The Good Ones: 10 Crucial Qualities of High-Character Leaders" will enrich your learning experience.

Description

Why does ethical leadership matter in the age of AI? How can qualities like honesty, accountability, and fairness help you build trust, make better decisions, and future-proof your career?

In this engaging and practical course, Dr. Bruce Weinstein, The Ethics Guy, and Jess Todtfeld, CSP, reveal 10 crucial leadership qualities that define high-character professionals. You’ll explore essential traits such as honesty, accountability, care, courage, and fairness and learn how these principles drive ethical decision-making in AI and business.

What You’ll Learn:

  • Identify the 10 essential qualities of ethical leadership

  • Understand how ethical leadership strengthens AI decision-making

  • Gain a competitive edge by demonstrating integrity and accountability

  • Use targeted questions to assess the character of job candidates

  • Build and sustain a high-performing, ethical workplace

This course is designed for business leaders, managers, and professionals who want to enhance their leadership skills while ensuring responsible AI use. Whether you're leading a team, applying for a job, or looking to strengthen your ethical decision-making, these leadership qualities will set you apart.

Note: This is not a boring lecture on a dry topic. It is a dialogue between an ethics expert and an inquisitive professional like you. Who knew ethics could be fun, engaging, and focused on results?


You’re already a strong professional—this course will help you become an even more trusted and successful leader. Ethical leadership isn’t just good practice; it’s the key to long-term business success.

Who this course is for:

  • financial professionals, mid-level managers, C-suite executives, hiring managers, human resources professionals, compliance executives, risk management officers, entrepreneurs and small business owners, technology leaders, consultants and advisors, legal and regulatory professionals, and educators and trainers in ethics and technology

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