Brandeis Marshall: DATA EQUITY STRATEGIST
Data scientist and tech equity strategist who helps organizations build inclusive AI, and translate ethical data practices into outcomes.
Quick Facts:
- CEO of DataedX Group
- Former Chair and Professor at Spelman College
- Affiliate at Harvard Berkman Klein Center for Internet & Society
- Fellow at Stanford PACS
- Formats:
- Keynote Speaker and Data Ethics Strategist
- Audiences:
- Corporate leaders, data scientists, policymakers, educators, and organizations focused on AI, data governance, and ethical innovation.
- Outcomes:
- Identify bias risks across data pipelines.
- Implement inclusive model design checkpoints.
- Measure fairness and inclusion with practical metrics.
- Travels from: Atlanta, GA
- **US Fee range: On Request
Talent Services
Keynote Topics:
FUTURE-PROOFING YOUR ORGANIZATION
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.
AI IN EDUCATION
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.
BIAS IN AI
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.
DON'T "MOVE FAST AND BREAK THINGS"
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.
DE-SILOING YOUR DATA STRATEGY FOR EQUITY
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.
Talent Short Bio
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.
Videos
Interest to Book? Send us your enquiry
No reviews available for this post.
Talent FAQ's
Do speakers charge a flat fee or by the hour?
Speaker fees can vary depending on factors such as expertise, demand, and event specifics. While some speakers may charge a flat fee for their services, others may have hourly rates. It’s best to discuss fee structures directly with the speaker or their representative to understand the pricing model.
What is the typical duration of a keynote speech and what is included?
Keynote speeches typically range from 30 to 90 minutes, with the duration determined by the speaker’s expertise, the event’s agenda, and audience preferences. Keynote speeches often include a combination of inspirational stories, practical insights, and actionable advice tailored to the event’s theme or objectives.
Does the scale of the event and audience size affect a speaker’s fee?
The scale of the event and audience size can indeed impact a speaker’s fee. Larger events with a broader reach or higher attendance may command higher fees due to increased exposure and demand. Conversely, smaller events or niche audiences may offer opportunities for more flexible pricing arrangements.
Travel expenses and other costs
Travel expenses such as transportation, accommodation, and meals are typically negotiated separately from the speaker’s fee. These costs vary depending on the speaker’s location, travel distance, and event duration. It’s important to clarify travel arrangements and expenses during the booking process to avoid misunderstandings.
Deposits and securing a booking
Many speakers require a deposit to secure a booking, with the remaining balance due closer to the event date. Deposits are often non-refundable and serve as a commitment from both parties. It’s advisable to discuss deposit requirements and payment terms with the speaker or their representative when finalizing the booking.
Additional tips and takeaways
- Virtual speaking appearances are a cost-effective alternative to high speaking fees, often 10-50% cheaper than in-person rates.
- There is typically no difference in fee for a 15-minute speech versus a 60-minute speech.
- Some motivational speakers are open to discounting their fee if hired for more than one event by the same organization.
- When browsing speakers, consider their location to keep travel costs down.
- Personal connections to your organization or event location can increase your chances of securing a renowned speaker.
- Be upfront about your needs and expectations to ensure a successful partnership.
- Speaker bureaus like Speakers Inc help guide you through the booking process to negotiate the best deal with favorable terms.
Ready to find the perfect speaker for your event? Use our advanced search feature or contact us to get started today!
You may be interested in...
Explores the future of AI and human-machine collaboration.
- Former Chief Scientist at OpenAI
He helps organizations turn AI into real business value.
- Artificial Intelligence
Helps leaders navigate and leverage disruptive technologies for growth.
- Digital Innovation
She helps leaders harness AI responsibly and drive human-centered innovation.
- Artificial Intelligence
He makes AI practical, accessible and actionable for organizations.
- AI Expert
- Investigative AI Journalist
- (3 reviews)
He helps organizations navigate AI and future-proof their strategy.
- Global AI Advisor
Disclaimer
These remain the property of its owner and are not affiliated with or endorsed by Speakers Inc.
Fee Range Information
All talent fees exclude travel and accommodation where required.