AI Safety
Bias prevention, moderation, and usage control
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Popular Instructors
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Jessica O’Dell
Jessica is a passionate educator and innovative instuctional designer and certified teacher with over a decade of experience in k-5 teaching, curriculum development, and technology integration. She holds a specialist degree in education, blending pedagogical expertise with digital fluency. Jessica has designed inclusive, data-informed learning experiences using many different instructional designs. Her work spans differentiated instruction for neurodivergent learners, remote learning modules, and professional development for educators.

Erin Celise Smilkstein
Erin Celise teaches people how to make AI work for them without losing their voice, values, or sanity in the process. As an instructor at Phlare, she creates courses that cut through hype and confusion, giving learners practical skills they can use right away. A longtime educator, trainer, and mentor, Erin blends strategy with soul and isn’t afraid to challenge the myths around AI. Her approach is clear, grounded, and a little bit irreverent, because learning is easier (and more fun) when it feels human.

Dr. Devon Madon
Hi, I’m Devon Madon. I teach people how to understand, explain, and use AI in real-world contexts—whether that’s in the courtroom, the classroom, or the shop floor. I come to this work with a PhD in Literature from Loyola University, years of teaching experience, and hands-on expertise as both an educator and a business owner. I co-own Madon Sheet Metal, a union fabrication company in Chicagoland, where I’ve seen firsthand how technology and trades intersect. I also work as an AI analyst and evaluator, partnering on projects with Google Gemini, Meta, and GlobalLogic, where I focus on how large language models learn, reason, and interact. My passion is making AI clear, accessible, and practical. I’ve co-authored articles for Law360 on explaining LLMs to juries, spoken at conferences like SMACNA, and I’m developing plain-language guides to help lawyers, educators, and professionals use AI responsibly and effectively. At the heart of my teaching is this belief: AI isn’t magic, it’s a tool. And when you understand it, you can use it to amplify—not replace—your human skills like judgment, creativity, and communication. Keywords: AI education, lifelong learning, legal technology, large language models, LLMs, trades education, communication, expert witness, AI literacy, teaching AI.

Dr Kolawole Akinbaleye
Dr. Kolawole Akinbaleye is an Adjunct Professor and seasoned Program Manager with over 15 years of experience leading global initiatives in program management, AI adoption, SAP implementation, and large-scale technology transformation. He has worked with Fortune 500 companies such as Deloitte, Chevron, Apple, and National Grid, driving enterprise change and digital innovation. With a PhD in Management Information Systems and multiple professional certifications, Dr. Akinbaleye bridges academic excellence with real-world practice. His expertise spans program governance, cloud solutions, AI strategy, and compliance delivery, making him well-positioned to equip learners with future-ready skills.

Nikhil Jois
AI instructor with proven results applying machine learning across video, audio, education, medicine, law and more.

Dr. Constance Quigley
Dr. Constance Quigley is an entrepreneur, AI ethics consultant, business strategist, and award-winning author dedicated to helping leaders and organizations integrate artificial intelligence with integrity. She believes technology should amplify human potential—never replace it—and works with entrepreneurs, executives, and teams to design ethical, future-ready strategies that spark innovation and build trust. Whether writing, speaking, consulting, or teaching, her mission remains consistent: to empower people to lead boldly, think critically, and shape a future where progress and principles move in harmony. Professional Background Dr. Quigley holds a Doctorate in Business Management with a specialization in Organizational Leadership, along with an MBA. She has spent years helping leaders and organizations navigate transformation across corporate strategy, ethical AI integration, leadership development, and creative brand growth. Her career includes advising executives, building strategic roadmaps, and guiding organizations through digital transformation with a focus on ethics, accessibility, and human-centered innovation. She has worked across multiple industries—including technology, education, creative arts, healthcare, and entrepreneurship—giving her a multidisciplinary perspective that informs her teaching and consulting. As an author and speaker, she shares insights on purpose-driven technology, leadership excellence, and practical strategy design. Her blend of academic rigor, hands-on consulting experience, and creative problem-solving enables her to help individuals and organizations build systems that last, lead, and inspire. Certifications & Professional Development My Story My journey has never fit into a single box. It has unfolded at the intersection of two worlds : business and caregiving, strategy and service, innovation and humanity. Long before AI ethics and executive consulting became central to my work, the realities of healthcare shaped me, supporting family members with disabilities and developing a deep understanding of what compassionate, consistent care truly demands. In many ways, caregiving was my first education in leadership. As I built my career in business, strategy, and technology, I never stepped away from healthcare; I carried it with me. I worked across both paths in tandem, designing strategic roadmaps and guiding organizations through digital transformation, while also managing complex care plans, advocating within healthcare systems, and completing advanced training through the U.S. Department of Veterans Affairs and the American Caregivers Association. These parallel experiences formed a unique foundation: analytical enough to navigate corporate structures, and human-centered enough to understand the weight of real-world impact. While academia often rewards specialization, my life required integration. My roles as consultant, strategist, educator, and caregiver each informed the rest. Supporting individuals in vulnerable moments taught me that leadership is never abstract; it is personal, relational, and deeply grounded in empathy. Working in AI and organizational strategy reinforced that systems must be built ethically and with intention, because real people live with the consequences. Today, my work bridges both worlds. I help leaders adopt ethical AI, strengthen organizational culture, and innovate responsibly, guided by the same principles I learned through caregiving: protect dignity, promote clarity, build structures that support people, and ensure that progress never comes at the cost of humanity. Every chapter of my life has led me to one conviction: When technical innovation and human compassion move together, we build a future that truly serves people.

Charles Zimmerman
Charles Zimmerman – AI Learning Instructor With over two decades in digital learning and LMS enablement, I’ve built a career around making complex systems simple, useful, and engaging. From implementing large-scale platforms like Thought Industries and Oracle Learn to mentoring administrators and creators through MyLearn.me, I’ve seen firsthand how technology can unlock potential—when people understand how to use it. As an AI instructor, my focus is on bridging the gap between curiosity and capability. Whether you’re a beginner exploring your first AI prompt or a mid-level learner building your first automation, I want to help you connect the dots between what’s possible and what’s practical. My lessons move from nano learning to macro learning—quick wins that build toward lasting understanding. You’ll find resources, discussions, and downloads that help you get started today. Together, we’ll make this whole AI “thing” more digestible, useful, and, yes—fun. I too am a lifelong learner, so I invite your feedback, updates, and questions.

Arbaz Khan
Hello, I am Arbaz Khan , a Computer Science Engineer. I have experience in IoT, Python, Data Science , and learning New Technologies. Also, I am good at C, C++, JAVA. I love to Automate things like Home Automation and other tasks using Python Programming Language. I'm also running my own startup named GetSetCode were We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.

Timothy Henize
I help small businesses and teams bridge the gap between human expertise and AI efficiency. With 18 years of leadership and project management experience as Director of Operations at Cincinnati Children’s Hospital Medical Center, I know what it takes to manage people, processes, and technology at scale. After earning my post-graduate certificate in AI & Machine Learning from Purdue University, I founded The AI Handyman LLC , where I design practical AI workflows, automation tools, and education programs that make cutting-edge tech accessible to everyone, not just seasoned developers. On Phlare, my goal is to demystify AI for real-world use: showing business owners, educators, and professionals how to use AI ethically, efficiently, and creatively to save time and grow their personal brands or businesses.

Erick Barreat
My name is Erick Alejandro Barreat Lopez. I came to the United States from Venezuela as a child, and those early years taught me something that shaped my entire life. Growth comes from showing up, staying curious, and building forward no matter the circumstance. That belief is the reason I created EB DevTech. I want people to have tools that raise them up, sharpen their thinking, and give them the freedom to focus on what matters. II’ve spent my career inside real operations; manufacturing, insurance, logistics, education, and small business; working with people who carry real responsibility and need clarity, not noise. My work is to build systems and AI tools that create time, reduce mental load, and strengthen the teams doing the work. Everything I teach is built from experience, fixing broken workflows, designing AI agents that actually perform, and helping people think clearly so they can move with purpose. If you’re here to grow, sharpen your mind, and build the future with intention, you’re in the right place. My goal is simple: ignite something in you that helps you rise, lead, and move forward with conviction.

Justin Von Braun
I train and build generative AI systems that think, adapt, and create. With a foundation in IT systems, cybersecurity, and creative automation, I focus on designing intelligent AI workflows that merge artistry with engineering. My work blends prompt design, model refinement, and multi-tool integration across platforms like ChatGPT, Stable Diffusion, and ComfyUI — empowering individuals and teams to take creative control over AI-driven visual storytelling. Through Prompt Lab, I’ve built a global learning community dedicated to teaching the principles of cinematic AI art and regenerative design — helping users move from curiosity to professional-grade results. My mission is to make advanced AI artistry and workflow automation accessible to everyone, regardless of background or skill level. Certified through IBM, Google, CompTIA, and Infosec in areas spanning Generative AI, Cybersecurity, IT Fundamentals, and Prompt Engineering, I bring a technically grounded approach to creative AI development, focusing on ethical, scalable, and visually expressive outcomes.

Kay Stoner
I'm a seasoned technologist, working in information applications since 1992. Over the years, I have championed accessibilty initiatives at a leading Financial Services and since 2000 led search programs at multiple multinational corporations. I've been in the business of connecting people with the information they need to work better, live better, and be better for over 30 years, and now I'm active in the AI space. I've been working daily with generative AI since late 2023, specializing in building teams of AI personas, specially configured to collaborate with each other and people to achieve amazing results. Generative AI is a fantastic thought partner. It's not just about automation and transactions. It's also a secret weapon for ideation, creativity, and unpacking issues that keep professionals and organizations blocked by old information and outdated structures. By unlocking the power of AI through personas, self-defensive prompting techniques, and establishing your clear executive presence, you can realize the kinds of results that have eluded you for too long. Get the help you've always wanted - and needed - with AI... like you've never seen it.
Featured course
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All AI Safety courses
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How Your Data is and Isn’t Used on ChatGPT
Keeping yourself safe using ChatGPT
Beginner
ACTIVE
The AI Reset: Clear the Confusion, Build the Foundation
Learn what AI actually is and set the foundation to become a master not just a user.
Beginner
ACTIVE
AI Safety 101
Hallucinations, Bias, and AI Ethics
Beginner
ACTIVE
Cross-Function / Leadership
Leading Collaborative Teams and Driving AI-Enabled Transformation
Beginner
ACTIVE
Frequently asked questions
AI safety is the practice of making sure artificial intelligence systems are reliable, ethical, and secure so they don’t cause harm to people, businesses, or society.
Without safety measures, AI can generate biased, false, or harmful outputs. Safe AI ensures compliance, protects customer trust, and reduces legal or financial risks.
Risks include misinformation, biased decision-making, privacy violations, security breaches, and over-reliance on flawed AI recommendations.
They can train models on unbiased data, test regularly for errors, apply human oversight, and follow ethical guidelines for deployment.
AI bias happens when an algorithm produces unfair results because of skewed or incomplete training data. For example, a biased hiring model may favor one demographic over another.
By using diverse training datasets, auditing model outputs, and setting clear fairness and compliance standards before deployment.
Guardrails are rules and filters built into AI models to stop unsafe behavior, such as generating harmful content, confidential data leaks, or discriminatory outputs.
Governments are introducing AI regulations, like the EU AI Act, to ensure businesses use AI responsibly with transparency, risk management, and accountability requirements.
Responsible AI is the idea of designing AI to be fair, transparent, accountable, and aligned with human values — balancing innovation with ethics.
They should double-check AI outputs, avoid sharing sensitive information with public AI tools, and report errors or suspicious results for review.
Yes. Customers are more likely to engage with businesses that use AI responsibly, clearly communicate policies, and prioritize data privacy.
Explainability means AI decisions can be understood by humans. This transparency is critical in high-stakes areas like finance, healthcare, and legal work.
Adversarial AI refers to attacks where inputs are manipulated to trick AI systems. For example, slightly altering an image to fool an AI into misclassifying it.
Safe AI reduces regulatory risks by ensuring outputs are accurate, non-discriminatory, and aligned with privacy laws like GDPR or HIPAA.
AI safety will evolve into a standard business practice, with companies adopting built-in monitoring tools, compliance frameworks, and ethical AI certifications.