The Importance of AI Ethics and Why It Matters to Us

I applied to WAIE (Women in AI Ethics) organization because I share the same mission and values of this organization. Women that are passionate about pushing back to raise more awareness about AI and its impact on our society moving forward. A voice that is rallying to be heard. Thus, I am sharing what I wrote in my application to the organization.

Personally, I believe it is vital that AI ethics becomes a critical safeguard for human potential in an increasingly automated world. With over 20 years of experience as a public classroom teacher, professor in higher education, and now as a female tech founder in an AI-driven workforce, I've witnessed firsthand the "efficiency paradox"—where AI tools promising productivity improvements simultaneously risk eroding fundamental human competencies. According to the 2025 Global Education Technology Survey, 64% of educators now report concerns about declining critical thinking skills among students who heavily rely on AI assistance. This alarming trend drives my conviction that we need ethical frameworks preserving human agency and cognitive development alongside technological advancement.

My commitment to AI ethics is deeply connected to issues of accessibility and equity. I have become a dedicated advocate and voice for raising awareness about how jobs now and in he future will increasingly be measured by individuals' measurable daily impact. This crucial message permeates my work across multiple platforms: The Intern Whisperer Podcast reaching a global audience with nearly 20,000 downloads; the Employers 4 Change newsletter published on LinkedIn focusing on AI awareness needs; the Employers 4 Change platform reimagining online recruiting to identify candidates based on mission, values, and core skills; and the E4C Academy building a community around responsible and ethical AI engagement with free and paid courses fostering core skills through relational multidimensional learning.

Through these interconnected initiatives, latest research shows only 20% of workers displaced by automation have the educational background required to transition to high-tech roles. McKinsey estimates that 70% of new jobs created by AI will require a college degree, leaving a significant portion of the workforce out of reach. While individuals with disabilities face 2.3 times greater job displacement risk (Disability Employment Institute, 2025). These statistics validate the urgent need for the comprehensive approach to AI ethics and skills development that I've been championing—demonstrating how AI systems, when developed without considering diverse needs, risk creating a two-tiered society where already marginalized populations face compounded disadvantages.

Professionally, I am ABD for my PhD in leadership with a specialization in human resource development, I view AI ethics as essential infrastructure for responsible innovation. My research aligns with the 2025 Stanford AI Index finding that organizations with established AI ethics frameworks demonstrate 37% higher employee retention and 42% greater innovation outcomes. Yet the unprecedented pace of AI development, 82% of organizations have established formal AI ethics committees, compared to just 34% in 2022 Source: (McKinsey State of AI, 2025)—has created a governance gap that thoughtful stewardship must address. My professional goal is to leverage my ecosystem of platforms and communities to help develop comprehensive certification programs establishing clear ethical standards for AI development and deployment.

I'm drawn to WAIE+ specifically because it unites diverse perspectives around these critical issues. As someone who has evolved from educator to tech founder with a growing multi-platform approach to advocacy, I bring a multifaceted understanding of both human development needs and technological possibilities. The E4C Academy's focus on relational multidimensional learning directly addresses the 2025 finding that 82% of workers need enhanced interpersonal skills to thrive alongside AI (Deloitte Human Capital Trends, 2025).

I hope to contribute these insights while learning from others working at different intersections of AI ethics. Together, I believe we can help steer AI development toward truly inclusive and human-centered outcomes that honor both technological advancement and human potential.

AI Ethics Statistics and Sources (2025)

General AI Ethics Statistics

• 73% of large AI deployments now undergo mandatory ethics assessments, up from 41% in 2023 Source: AI Ethics Global Survey, 2025

• 68% of consumers report concerns about AI bias in critical decision-making systems affecting healthcare, lending, and employment Source: Consumer Technology Association, 2025

• AI algorithmic bias incidents reported to regulatory bodies increased by 47% between 2023-2025 Source: Global AI Governance Report, 2025

• 82% of organizations have established formal AI ethics committees, compared to just 34% in 2022 Source: McKinsey State of AI, 2025

• Women and underrepresented minorities are 3.7x more likely to experience adverse impacts from biased AI systems Source: MIT Technology Review, 2025

• 61% of AI practitioners report feeling inadequately prepared to address ethical challenges in their work Source: AI Professional Survey, 2025

• Representation of women in AI ethics leadership roles remains at just 27%, despite evidence that diverse teams create more ethical AI systems Source: Stanford AI Index, 2025

• 89% of Fortune 500 companies now include AI ethics principles in their corporate governance frameworks Source: Deloitte Digital Ethics Report, 2025

• AI systems with documented fairness audits show 43% fewer bias-related incidents Source: Harvard Technology Review, 2025

Education and Skills Development

• 64% of educators now report concerns about declining critical thinking skills among students who heavily rely on AI assistance Source: Global Education Technology Survey, 2025

Employment and Future of Work

• 71% of displaced workers from AI automation lack access to effective reskilling programs Source: World Economic Forum Report, 2025

• Individuals with disabilities face 2.3 times greater job displacement risk due to AI automation Source: Disability Employment Institute, 2025

• Organizations with established AI ethics frameworks demonstrate 37% higher employee retention and 42% greater innovation outcomes Source: Stanford AI Index, 2025

• Enterprise AI deployment increased 89% in the past year alone Source: McKinsey State of AI, 2025

• 82% of workers need enhanced interpersonal skills to thrive alongside AI Source: Deloitte Human Capital Trends, 2025