Seth Dobrin Ph.D.
First-ever Global Chief AI Officer, a transformative leader in AI.

Selected Publications
A selected list of Seth Dobrin's publications and articles.
- How IBM is advancing AI governance to help clients build trust and transparency
- Countdown to GDPR: Yes, it applies to you—no, you don’t have to panic
- New Certifications to Help Close the Data Scientist Deficit
- Unifying Data Governance for the Future
- Helping Data Science Flourish – One Client at a Time
- The Journey Continues: From Data Lake to Data-Driven Organization
Journey to Digital Series
Governance
Data Science
Academic Publications
- Study on essential derivation in maize: III. Selection and evaluation of a panel of single nucleotide polymorphism loci for use in European and North American germplasm
- Quantitative Trait Locus Analysis of Carotid Atherosclerosis in an Intercross Between C57BL/6 and C3H Apolipoprotein E–Deficient Mice
- A novel locus for adolescent idiopathic scoliosis on chromosome 12p
- Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia
- The role of estrogen signaling in schizophrenia
- Identification of a novel region for AIS on chromosome 12p with an autosomal recessive and dominant model of inheritance
- Quantitative Trait Locus Analysis of Carotid Atherosclerosis in an Intercross Between C57BL/6 and C3H Apolipoprotein E–Deficient Mice
- Association Between Comt Gene And Aggression In Chronic Schizophrenia
- Candidate gene analysis of 21q22: support for S100B as a susceptibility gene for bipolar affective disorder with psychosis
- Genome‐wide scan of bipolar disorder and investigation of population stratification effects on linkage: Support for susceptibility loci at 4q21, 7q36, 9p21, 12q24, 14q24, and 16p13

Dr. Seth Dobrin
was IBM's first
ever Global Chief AI Officer
Widely recognized as one of the industry’s most preeminent business leaders in AI.
Dr. Seth Dobrin has ideated and spearheaded some of the most innovative AI strategies for a variety of Fortune 500 companies. Trained as a human-geneticist, he launched his career in tech with an unwavering passion for the rigor of the scientific method appliedto business, combined with his interest in human nature described through data.
Dr. Dobrin is the Founder and CEO of Qantm AI, a strategic advisory firm focused on bridging the business value of AI to its technical execution through a human-centered approach, providing tailored solutions to each client. He founded the business after creating and launching a new human-centered methodology for designing and executing an AI strategy. Dr. Dobrin’s proprietary methodology enables organizational transformation through a bespoke design-driven process that guides the prioritization and implementation of a well-defined set of AI initiatives that align with a company’s business strategy. Dr. Dobrin’s outcome-based strategy fundamentally transforms the elements of every company’s functions, from business operations to product development, by driving optimal business results, with consistency and responsibility. As a thought leader, Dr. Dobrin’s unique combination of business experience and high level of technical expertise has allowed him to carve out a niche space in the AI field.
His human-centered approach to AI in business utilizes humans as a lens to frame data and AI issues, while simultaneously uncovering new business opportunities to design AI solutions around. Dr. Dobrin credits his emphasis on trust, fairness, and inclusiveness as being paramount to his success in AI. As an advocate for ethical AI and inclusivity in tech, Dr. Dobrin’s thoughtful approach delivers comprehensive returns, helping each client achieve their unique goals. Prior to becoming an entrepreneur, Dr. Dobrin was the President of the Responsible AI Institute, and designed and led cutting edge technology strategy initiatives with IBM. Most recently, he was appointed as IBM’s first-ever Global Chief AI Officer and led the entire corporate AI strategy. In this role, Dr. Dobrin was responsible for connecting the AI development and governance across IBM’s divisions with a systemic creation of business outcomes.