Diversity and Inclusion Technologies

Why have a Diversity Dashboard of your company? Leveraging a technology platform like UNGENDER Advisory that provides a diversity dashboard can enable companies to make better decisions regarding team composition, hiring, promotions, and company culture. Here are some more reasons why and how companies can make the most of such a platform: Objective assessments: Remove biases and subjectivity by relying on data-driven metrics. Having quantifiable data on the diversity of teams allows for objective evaluations of current diversity initiatives and areas of improvement. Talent acquisition and retention: Understanding the diversity breakdown can help in targeting hiring campaigns more effectively. If certain groups are underrepresented, recruitment efforts can be tailored accordingly. Additionally, seeing patterns of attrition among certain demographics might indicate issues to address in the work environment. Setting clear targets: Establish diversity and inclusion benchmarks based on the data presented. Targets can be based on industry averages, competitors, or a company’s own aspirations. With clear metrics to track, progress can be measured over time. Identifying training needs: If there's a lack of diversity at the leadership levels, companies might consider offering training programs, mentorship opportunities, or pathways to leadership for underrepresented groups. Feedback mechanism: Use the platform as a way to get feedback from employees. If there are specific concerns or feedback related to diversity, the platform might offer ways to anonymously submit these concerns. Tailored initiatives: By understanding which groups are underrepresented, companies can launch specific initiatives, like women in tech programs, LGBTQ+ inclusivity training, etc., tailored to their unique needs. Promoting inclusive culture: Use the insights from the dashboard to reinforce the importance of diversity and inclusion in the company's culture. This can lead to more empathetic and collaborative work environments. Stakeholder communication: Share the findings with stakeholders, including shareholders, customers, and employees. Transparency regarding diversity can enhance a company's reputation and show a commitment to better decision-making. Decision making: Having a diversity dashboard isn’t just about tracking; it’s also about incorporating those insights into actual decision-making. Whether it’s related to product development, marketing campaigns, or strategic planning, a diverse team offers varied perspectives, leading to more comprehensive and innovative solutions. Regular reviews: Continuously monitor the dashboard and revisit decisions, targets, and initiatives regularly. This ensures that the company remains proactive in its efforts and adjusts strategies based on real-time feedback and changes. Want to know more? Write to us at contact@ungender.in or visit www.ungender.in to schedule a demo.

AI is creating new opportunities for individuals across all walks of life to excel in their roles.   In Hong Kong, Lawrence Fong, Director of Digital & IT at Cathay Pacific, used to move emails to a "Follow Up" folder and hope to revisit them later. Now, with Copilot, he responds faster, drafts speeches with ease, and his team can summarize proposals and meetings in minutes – not hours.   In Australia, Julian Ockford, a Rail Operations Planner at GHD, with dyslexia, faced extra challenges in writing. With Copilot, he’s now able to write with clarity and confidence while keeping his unique voice. AI is also helping employees with temporary disabilities, like those recovering from surgery, get back to work more quickly.   For Australia Post, AI is reimagining accessibility. Anthony Moufarrege, Diversity & Inclusion Coordinator, knows firsthand how workplace adjustments can make all the difference. He’s also seen Copilot break down communication barriers for those who are deaf or hard of hearing - enhancing both virtual and in-person interactions.   The question is no longer if AI will change the way we work - it’s how we will use it to create more opportunity for everyone.   Read more on Lawrence’s story here: https://lnkd.in/e4uTRgFf Read more on how GHD and Australia Post are leveraging AI for inclusion and empowerment here:

Last week, as I was excited to head to #Afrotech, I participated in the viral challenge where people ask #ChatGPT to create a picture of them based on what it knows. The first result? A white woman. As a Black woman, this moment hit hard—it was a clear reminder of just how far AI systems still need to go to truly reflect the diversity of humanity. It took FOUR iterations for the AI to get my picture right. Each incorrect attempt underscored the importance of intentional inclusion and the dangers of relying on systems that don’t account for everyone. I shared this experience with my MBA class on Innovation Through Inclusion this week. Their reaction mirrored mine: shock and concern. It reminded us of other glaring examples of #AIbias— like the soap dispensers that fail to detect darker skin tones, leaving many of us without access to something as basic as hand soap. These aren’t just technical oversights; they reflect who is (and isn’t) at the table when AI is designed. AI has immense power to transform our lives, but if it’s not inclusive, it risks amplifying the very biases we seek to dismantle. 💡 3 Ways You Can Encourage More Responsible AI in Your Industry: 1️⃣ Diverse Teams Matter: Advocate for diversity in the teams designing and testing AI technologies. Representation leads to innovation and reduces blind spots. 2️⃣ Bias Audits: Push for regular AI audits to identify and address inequities. Ask: Who is the AI working for—and who is it failing? 3️⃣ Inclusive Training Data: Insist that the data used to train AI reflects the full spectrum of human diversity, ensuring that systems work equitably for everyone. This isn’t just about fixing mistakes; it’s about building a future where technology serves us all equally. Let’s commit to making responsible AI a priority in our workplaces, industries, and communities. Have you encountered issues like this in your field? Let’s talk about what we can do to push for change. ⬇️ #ResponsibleAI #Inclusion #DiversityInTech #Leadership #InnovationThroughInclusion

🎺 Rewriting AI's Score: How One Entrepreneur Is Building Fairness Into Technology In my latest "Tune In To Leadership" conversation, serial entrepreneur John Pasmore shares how Latimer.ai is tackling one of tech's most critical challenges: bias in artificial intelligence. Named after legendary Black American inventor Lewis Latimer, this AI platform launched with a clear mission—to ensure AI represents Black and Brown communities fairly and accurately. As John put it: "If we embed bias in this technology, that's way worse than everything we've already seen in society." Key insights from our discussion: • How HBCUs like Miles College are revolutionizing AI-integrated education • Using AI to improve healthcare "bedside manner" through passive listening analysis • Partnership with Grammarly to detect bias in real-time written communications • Why building diverse tech teams at HBCUs matters for the future of AI What I find especially compelling is that schools aren't just adopting Latimer—they're reimagining how AI fits into learning, from composition classes to nursing certification programs. This is leadership that improvises toward fairness, building technology that serves everyone. What role do you see AI playing in creating more inclusive workplaces and educational environments? Read the full interview: https://lnkd.in/emhyAwhS #AILeadership #DiversityInTech #InclusiveInnovation #HBCU #EdTech #HealthcareInnovation #Latimer.ai

Ensuring Equity and Inclusion in AI Adoption: Insights from My Podcast with Robert Lawrence Wilson I had the pleasure of discussing the critical topic of Bias in AI with Robert on his recent podcast. We discussed the history of AI and its growing impact on modern businesses. Our conversation took a deep dive into the various types of biases that can emerge in AI systems, from data and algorithmic bias to the human biases that shape AI development and deployment. One key takeaway from our discussion: as organizations increasingly adopt AI, it is crucial to incorporate diversity, equity, and inclusion considerations into every stage of the process. This means ensuring that the data used to train AI models is representative and inclusive, reflecting the diversity of the populations the AI will serve. It also means designing algorithms that prioritize fairness and equity, and subjecting them to rigorous bias testing and auditing. Critically, DEI must be at the forefront of how AI is applied across various business functions. ➡ In recruiting, AI tools should be used to enhance diversity and mitigate bias in hiring decisions. ➡ For career advancement, AI systems must be designed to provide equitable opportunities and counter historical disparities. ➡ Corporate policies and communications shaped by AI should undergo careful review to ensure they are inclusive and free from bias. Ultimately, the successful integration of AI in business requires a proactive, informed approach. It demands collaboration among AI developers, business leaders, HR professionals, and people and culture experts. Only by working together can we harness the power of AI to drive innovation and efficiency while also promoting equity and inclusion. The podcast will be released in May/June and I will share when it is ready. Let's continue this crucial conversation and work towards a future where AI serves as a tool for greater fairness and representation in the workplace. #AI #Bias #Diversity #Equity #Inclusion #DEI #Recruiting #CareerAdvancement #CorporatePolicy #HumanResources