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Developing AI Responsibly for Diversity and Inclusion: A Playbook with Sharifah Amirah
New AI tools seem full of promise for fixing workplace diversity problems. But they also bake in human biases that can make inclusion worse. So how do leaders tap the good while protecting against the bad?
Ankur’s note: Hey there, and welcome back to Pioneers. I hope you had a wonderful holiday season and new year!
New AI tools seem full of promise for fixing workplace diversity problems. But they also bake in human biases that can make inclusion worse. So how do leaders tap the good while protecting against the bad?
After 20 years helping global banks, tech titans and startups do data right, IntentHQ’s Chief Product Officer, Sharifah Amirah, sat down with us in our latest episode of Pioneers to share her battle-tested tips. Her wisdom offers a simple leadership game plan for using AI to thoughtfully boost equity.
This week’s outline:
Pioneers Ep: 9: “Developing AI Responsibly for Diversity and Inclusion: A Playbook with Sharifah Amirah”
Event: AI Automation in Underwriting: Improving Risk Assessment Processing
Customer Story: Direct Mortgage Corp.
Download: A Leader's Guide to Generative AI Automation 2024
Before we dive in, did you know that I write another newsletter on Substack? It’s a bit more technical, but I love to share the latest insights into artificial intelligence trends and comprehensive comparisons of models and platforms. Stay ahead in the world of AI with expert analyses and updates delivered directly to your inbox.
Developing AI Responsibly for Diversity and Inclusion: A Playbook with Sharifah Amirah
People and Outlook Guide Purposeful AI
Any AI lives or dies based on the hands shaping it. Who’s around the design table? What questions do they ask? Which ideas move ahead? Even proven apps link back to human choices made long before launch.
Leaders seeking AI that drives inclusion must purposefully build creative groups with different thinkers raising shared questions. Embracing unexpected voices surfaces hidden issues and sparks unforeseen solutions worth betting on.
Varied minds break groups out of comfy ruts where people like each other pontificate without questioning assumptions. Diverse perspectives pave the path for AI assisting excluded groups.
AI's Foundations Reveal It’s Failings and Future
Diversity in viewpoint serves as a key ingredient for AI furthering diversity itself. But equal inclusion in process and power remains critical for avoiding uneven effects.
Sharifah reveals how early recruiting algorithms at tech titans actually just perfected the replication of narrow employee prototypes (i.e. privileged white men from elite colleges). This again exposes AI's foundations. Systems optimizing historical practices, however harmful, require intentional intervention to propel new paradigm progress. Leaders must pursue "next" practices shaped by wide participation, not just discourage detrimental behaviors within lingering inequitable systems.
Doing differently means moving from tolerance toward total belonging and jointly creating what's next. Out-of-the-box AI boosts those already winning. But thoughtfully constructed, AI can overhaul systems so more people can meaningfully compete and prosper.
Readying Culture and Partners for Responsible AI
Even well-intended AI flops without cultural readiness. So leaders must carefully nurture an appetite for safe innovation through habits and ecosystems before productively applying inclusive AI.
At data trailblazer IntentHQ, this means deep transparency and a regular collective review of existing dynamics. Self-reflection reveals blindspots while sparking ideas on possibilities. And this receptive culture intentionally spreads further through partners collaborating on AI guardrails.
Companionably investigating values and behaviors provides direction for AI usage stretching ethically across entire business ecosystems. Doing right expands through connections, not isolation.
Deconstructing AI's Black Box Blindspots
With receptive cultures primed for responsible AI advancement, unraveling conventional code driving systems represents the next frontier. And neglecting strict scrutiny exponentially expands discrimination through an accountability vacuum.
But leaders must insist technology creators open the black box illuminating AI's secret sauce. Bright light and hard questions best disinfect bias. Dig into what training data got used, what inaccuracies got dismissed, and what yardsticks determine success. Don't blithely accept metrics merely maintaining unfair status quos reflecting historical privilege for some over others.
Stay unsatisfied with value-neutral talk or altruistic happy talk. Demand simplicity on how AI gets built and chosen as helpful versus harmful:
What worldview drove framing of solutions judged appropriate?
How did we fill gaps in limited, biased data plaguing systems?
Did a diversity of stakeholders participate in shaping pilots or defining success?
Leaders will grow into stronger question-askers through exposure, further spurring inclusive evolution. But set clear transparency expectations rather than reacting to undesirable impacts that become impossible to undo.
Poisonous Past and Promising Pathways Forward
We’re still at sunrise for AI expanding opportunity and equity. While missteps litter early days, consistent differences arise from diverse teams openly building applications tackling society’s biggest quandaries.
The future remains undetermined. But leaders constructing creative groups to intently interrogate black box AI substantially shape what opportunities tomorrow holds for whom. We must all lean into that duty.
So bringing together mixed minds to deeply question how AI gets built and used represents the first phase in seizing technology’s promise while avoiding its pitfalls. That grounds lasting progress.
What questions on employing AI to tackle inclusion challenges currently captivate your curiosity? Start small but solidly to position expanding AI as an accelerating tool for equity as capabilities advance. Match high tech with high trust teams to unleash AI’s multiplier effects for shared returns long into the future.
This event is the inaugural session of our LinkedIn Live webinar series, "AI Integration in Underwriting: Transforming Risk Assessment". This webinar is essential for finance and insurance professionals eager to understand the transformative impact of Artificial Intelligence in underwriting's risk assessment.
Key Takeaways:
Understanding AI's Role in Underwriting: Understand the role and benefits of AI in the current underwriting.
Optimized Risk Assessment: Learn how AI contributes to more efficient and accurate risk assessment processes.
Technology and Compliance: Balance technological innovation with regulatory compliance in AI-driven underwriting.
Success Stories and Lessons Learned: Analyze real-life case studies where AI has significantly improved underwriting.
Prepare for the Future: Learn strategies to integrate AI into underwriting, and stay ahead in a dynamic industry.
The webinar will provide insights into the practical and strategic aspects of AI in underwriting and attendees will have the opportunity to participate in a live Q&A session with Ankur Patel.
Event Info:
Date and Time: 01/24 at 5 pm - Eastern Time
Duration: 1 Hour
Customer Story - Direct Mortgage Corp.
Direct Mortgage Corp. (DMC), a company with 29 years of experience in residential mortgage lending, partnered with Multimodal to transform its mortgage application process. Previously, DMC's manual and time-consuming workflow was a significant burden for both customers and employees. Multimodal's intervention, utilizing Generative AI, transformed this process. In less than a month, a working prototype was developed. Now, DMC employs two AI agents for automatic data extraction and document classification, greatly enhancing efficiency. This technological advancement has enabled DMC to serve more customers, substantially reduce costs, and increase employee satisfaction.
A Leader's Guide to Generative AI Automation 2024
Multimodal's "A Leader's Guide to Generative AI Automation" report is an essential 38-page blueprint for business leaders seeking to implement AI-driven automation in the workplace. It reveals how AI agents can automate 80-97% of internal workflows, highlights the crucial steps for seamless AI integration in businesses, and explores the evolving role of tech leaders in bridging innovation and ethical stewardship. The report also delves into the future trends in technology, emphasizing the significant market impact and how these advancements are reshaping industries and consumer behaviors.