Keynote Topics
WHY AI WILL NOT REPLACE YOU
With months of intense ‘what can AI do for you’ discussions, op-ed think pieces and podcasts, the fear of job replacement and/or inability to secure a living wages job is running high. People are scared that they will be automated right out of a career, job and ways to support themselves.
Data scientist Brandeis Marshall urges you to ask the opposite question: what can’t AI do?
In this human-centered talk, Brandeis will counter the argument about the most disruptive and transformative advancement in technology with a focus on what is UnAI-able—actions, tasks and skills that can’t be digitized or automated.
Brandeis will outline the three categories of human-driven decision-making competencies that every sector and industry currently needs and will require for the foreseeable future. Audiences will learn why contextual awareness, conflict resolution and critical thinking cannot be replicated with 0s and 1s, and how AI may pivot, not eliminate, your daily duties at work.
You will walk away understanding the nuances of the strengths and weaknesses of our digitally-based future and how to remain positive about AI-proofing your career.
BIAS TO CHATGPT
AI has infiltrated society, growing concerns over its future implications within the education space. AI-assisted tools and platforms, like ChatGPT, are disrupting how instructors are able to assess how much a learner knows and can apply without advanced technological assistance.
Whether concerns stem from trying to understand what these tools are capable of or tackling the ethics of students cheating with generative AI assistance, educators and the education community at large (board members, administration and parents) must understand the nuances of these tools.
In this talk, Brandeis Marshall discusses the tensions of contending with the AI-assisted tools’ consequences, the rapid pace of AI’s new releases, and learner engagement for all levels of education. Brandeis will share small non-disruptive changes to integrate in the classroom and throughout a course that’ll hold learners accountable.
Audiences will learn how to navigate the new era of AI-led learning assistance and how to best both navigate and integrate these tools for better learning outcomes.
UNDERSTANDING HOW THIS SHOWS UP
There’s much buzz about AI, but have you ever thought about its societal impacts from these transformative technologies?
Bias is either categorized as a fixable error or a structural inequity. This either-or language should be reframed as a both-and situation. As knowledge construction workers and insight architects, we struggle with seeing and addressing a spectrum of biases.
The power and ease of scale of inequities in our digital systems affects the effectiveness of achieving business goals and maintaining client loyalty. During this talk, data equity expert Brandeis Marshall introduces the “bias wheel” as a more practical guardrail to navigate this spectrum.
In this talk, she discusses the disparate impacts of oppressive algorithms, including questioning the trust of and trustworthiness in our data, systems and platforms.
Audiences will learn why we should all care about mitigating biases, even for those not in technical roles, and how to continue conversations around solutions (policies and procedures) to help mitigate bias and discrimination.
THE CASE FOR EQUITABLE TECH
The ‘move fast and break things’ standard operating practices are in hyperdrive. Each industry across all sectors are trying their best to implement large language models (think Siri, Alexa, GPT) in some areas within their business operations. There’s a frenzy and serious FOMO (fear-of-missing-out) on doing this to maintain a competitive advantage. But instead of building bigger, faster, organizations must shift strategies and slow down and fix things.
In this talk, Brandeis Marshall identifies the urgent need for more robust transparency, accountability and governance guardrails in the data pipeline. Brandeis highlights ways that discrimination shows up in the digital data space and offers suggestions to address it.
Audiences will learn the perils of tech’s dominant philosophy of “move fast and break things” and why it should be replaced with a renewed focus on data equity-based strategies and frameworks.
Humanizing our data operations is possible when the data/tech community is collectively pushing for data transparency, making data/AI systems and knowledge workers accountable while exercising our data citizenship and agency.
In this talk, data equity expert Brandeis Marshall describes the ethical gaps in the data pipeline and shares practical interventions to making data/AI projects more equitable without disrupting existing data operations.
Finding common overlaps amongst data policies, practices and products are key to building a holistic approach across multiple departments for sustainable equitable data practices.
Data equity strategist Brandeis Marshall will show your data practitioners how to operate from an ethically-strong position and expand your data equity deployment options for organizational improvement.
Dr. Brandeis Marshall PhD, EMBA, is a celebrated data strategist, author, and CEO of DataedX Group. A former Chair and Professor at Spelman College, she directs the Data Analytics and Exploration Laboratory and is a Harvard Berkman Klein affiliate and Stanford PACS Fellow. Marshall champions data equity ensuring data science is inclusive, responsible, and oriented toward societal progress.
Marshall’s work highlights how bias and structural inequity can be embedded in algorithms and datasets, undermining trust and reinforcing injustice. Her book Data Conscience: Algorithmic Siege on our Humanity explores these issues, while her speaking and initiatives like “Black Women in Data” elevate underrepresented voices in tech.
She helps organizations overcome data anxieties from ethical ambiguity to implementation complexity by creating “snackable” frameworks that leaders, educators, and practitioners can deploy quickly and responsibly. She is a sought-after keynote speaker on data equity, ethics in AI, and building equitable intelligent systems.
Her style blends intellectual rigor with cultural relevance, making her insights both academically grounded and emotionally resonant ensuring that data practices serve communities and institutions alike.
Brandeis Marshall is a trailblazing figure in the realm of data ethics and education, passionately bridging the gap between technology, ethics, and social impact. As the Founder and CEO of the DataedX Group, she has redefined how organizations and individuals engage with data, championing ethical practices that align with inclusivity and fairness. Brandeis’s compelling vision and dynamic expertise make her a sought-after voice in navigating the complex intersections of data science, equity, and empowerment.
With a career spanning academia, research, and corporate advisory, Brandeis delivers transformative insights into the ethical implications of data-driven decision-making. Her thought-provoking keynotes challenge conventional paradigms while equipping audiences with actionable strategies to integrate ethical considerations into their data operations.
A prolific researcher and advocate, Brandeis’s work explores the social and cultural ramifications of data misuse. Her projects range from uncovering algorithmic bias to promoting equitable access to data literacy. These efforts have positioned her as a thought leader whose expertise is sought by tech companies, academic institutions, and government agencies alike.
Before founding the DataedX Group, Brandeis served as a distinguished professor in computer science, where she mentored emerging technologists and championed diversity in STEM. Her publications in peer-reviewed journals and contributions to thought leadership platforms have cemented her reputation as an authoritative voice in the data ethics domain.
Her impact extends beyond the professional sphere, as she advocates for data practices that empower marginalized communities. Brandeis’s work demonstrates that ethical data handling is not just a technical necessity but a societal imperative. Her engaging style and ability to translate complex concepts into relatable narratives resonate deeply with audiences, fostering meaningful dialogue and action.
Brandeis Marshall is a pioneering voice in data ethics, transforming the way organizations and individuals approach the ethical challenges of the digital age. As the Founder and CEO of DataedX Group, she empowers audiences with the knowledge and strategies needed to navigate the rapidly evolving data landscape. With a career dedicated to advancing equity, inclusivity, and ethical responsibility in technology, Brandeis is a speaker who delivers transformative value and inspires lasting change.
#DataEthics #TechnologyForGood #BrandeisMarshall #InclusiveTech #EthicalAI
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A: Workshops can be technical; talks are accessible for leadership.
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