Transparency
What should marketers disclose about automated decisions, data use and personalisation logic?
Doctoral researcher · Generative AI coach & consultant
Making AI in marketing worthy of trust.
I work at the intersection of doctoral research, generative AI adoption and digital transformation—helping leaders use AI responsibly while studying how transparency, fairness and accountability can shape digital marketing.
Research focus
Responsible
AI in digital marketing
Transparency
Fairness
Accountability
Trust
AI in digital marketing
Current dissertation
Navigating Responsible AI practices in Digital Marketing
15+Years across technology, AI & business
DBACandidate at Golden Gate University
AIGeneralist, coach & transformation consultant
CEOFounder & CEO of AImpact Digital
The doctoral research
Navigating Responsible AI practices in Digital Marketing.
AI can personalise, predict and persuade at extraordinary scale. My research asks what responsible practice looks like when those capabilities meet real marketing decisions.
The work examines how marketers can embed transparency, accountability and fairness into targeting algorithms, personalised content, customer-data use and marketing automation—without leaving ethics as a compliance afterthought.
Research statusDissertation phase · In progress
Core lines of inquiry
Accountability
Who owns the outcome when AI systems influence customers, campaigns and commercial decisions?
Fairness
How can organisations identify and reduce bias without treating fairness as a one-time audit?
Research relevance
CXOs
Brand leaders
Marketers
Policymakers
Blog
Notes from the responsible AI frontier.
Ideas, frameworks and practical observations on building AI-enabled marketing that deserves consumer confidence.
TRANSPARENCY / 01
Responsible AI · 5 min read
Transparency in AI: What Marketers Need to Disclose
A practical look at data usage, personalisation logic and automated decisions—and how openness can become an advantage.
Read blog ↗
02
Fairness · 5 min read
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03
Mitigating Bias in AI: Strategies for More Equitable Marketing Algorithms
Privacy · 3 min read
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04
Ethical AI in Digital Marketing: Balancing Personalisation and Privacy
Data governance · 4 min read
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View all blog posts →
The Role of AI in Protecting Consumer Data on Social Media
Scholar · AI generalist · Founder
Research informed by the realities of building.
I work where technology, business and human consequence meet. Over 15 years, I have led digital transformation, AI-enabled marketing and analytics initiatives—experience that now grounds my doctoral inquiry in the decisions organisations actually face.
Alongside my doctoral research, I advise and coach teams on generative AI adoption, digital transformation, responsible AI implementation and practical automation—especially where marketing, customer experience and organisational readiness overlap.
Doctor of Business Administration
Golden Gate University · Emerging Technologies & Generative AI
AImpact Digital
AI-powered growth, digital marketing, responsible AI governance and business automation
Generative AI & digital transformation
Coaching leaders and teams on practical AI adoption, automation and organisational transformation
AI, analytics & engineering
Executive programmes at Great Lakes Institute of Management · BE Computer Engineering, VIT Pune
Start a conversation
Research becomes useful
when it enters the room.
If you are navigating responsible AI, digital marketing governance, generative AI adoption or the organisational reality of AI-led transformation, subscribe and I will share research notes, frameworks and practical updates.
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