With unlimited applications, the integration and adoption of AI-powered tools will continue to grow in 2023. Many organizations are turning towards artificial intelligence to improve their talent hiring and development processes with the goal of creating a more diverse, equitable, and inclusive workforce.Â
From detecting & overcoming data bias to practicing responsible AI principles, driving initiatives with diversity data, implementing continuous training and educational programs, & much more - this discussion will provide the steps your org must take to build a workplace strategy that prioritizes DEI at every level.
Amber Ivey, commonly referred to as "AI", is a highly respected expert in process improvement and data management. Her passion for using data to drive positive outcomes has made her a sought-after leader in the private, public, and non-profit sectors, with over ten years of experience leading dynamic teams. She has a proven track record of success in improving outcomes for individuals, communities, and companies.
As a Vice President at a non-profit, Amber is leading the charge in driving government impact and is a strong advocate for bridging the gap between technology, data, and public policy. Her expertise in this area is further showcased through her research on state data use at The Pew Charitable Trusts and her presentations as a speaker at prominent events such as South by Southwest (SXSW) and the Governor’s Data Analytics Summit.
Amber's passion for the intersection of data, technology, and public policy is infectious, and her dedication to creating a more equitable future is unwavering. She is committed to collaborating with partners to have a more meaningful impact and to work towards a more equitable future, leveraging her expertise in data, leadership, and public policy.
Brian Douglas is the founder and CEO of Open Sauced where he works on increasing the knowledge and insights of open-source communities. In the past he’s lead Developer Advocacy at GitHub by fostering a community of early adopters through content creation showcasing the newest Github features.
Brian has a passion for open-source and loves mentoring new contributors through Open Sauced, the platform that empowers the best developers to work in open-source.
Abran is the cofounder of Create Labs, an AI developer, prompt engineer and an Ambassador for OpenAI. Create Labs is a Black and Brown founded startup and a leading disruptor in generative AI and metaverse design, bringing culture & innovation to life with authentic, AI-powered, immersive experiences. Abran is one of the leading experts and alpha tester of cutting-edge AI technologies such as ChatGPT, GPT-3, Codex, DALL•E 2 and other GANs. He is also the creator of C.L.Ai.R.A. an autonomous AI woman of color along with other intelligent virtual humans. He also manages Verizon's Innovative Learning initiative, expanding 5G VR/AR edtech solutions to schools across the nation.
Diya Wynn has worked in technology for more than 25 years building teams and developing products in early and growth-stage companies. She has a passion for developing current and emerging leaders; promoting STEM to the underrepresented; and driving diversity, equity and inclusion (DEI). After spending years in technology-focused roles and separately pursuing passion projects in DEI, she now has a role marrying both worlds as a global lead for customer engagement in Responsible AI. In this capacity, Diya leads a team and advocates for intentional action to uncover potential unintended impacts, mitigate risks and ensure inclusive and responsible development, deployment and use of AI/ML systems. In addition to her customer focus, she meets with legislators and regulators globally to educate and influence perspectives on AI.
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Diya is an inspirational speaker that has been awarded and recognized in the industry for her work in Responsible AI. She serves on non-profit boards; mentors through multiple organizations including her alma mater, Spelman College;Â was a mayoral appointee in Environmental Affairs for 6 consecutive years in Laurel, MD; and guest lectures regularly on responsible and inclusive technology. Diya studied Computer Science at Spelman College, the Management of Technology at New York University, and AI & Ethics at Harvard University Professional School and MIT Sloan School of Management.
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