Brian O’Neal, Founder of Designing for Analytics and Host of Experiencing Data Podcast based in the United States, participates in Risk Roundup to discuss Human-Centric Algorithmic Design for Data Analytics.
Human-Centric Algorithmic Design for Data Analytics
The digital age has brought enormous growth of digital data from everyone and everywhere. While this brings each nation and its components a newfound ability to design necessary products & experiences for this new digital age, there is a need to find a new sense of human-centric focus and balance.
The reason is that algorithms are incorporated into systems for increasingly diverse purposes and permeate numerous facets of the daily life of everyone, individuals, and entities across nations: its government, industries, organizations, and academia.
Since the people who define the systems, design the systems and build them and users who use them come from different backgrounds and skillsets, understandably, these systems’ results are often interpreted differently by the designers who created them than by the users who interact with them.
Since algorithms are designed to perform, it is crucial to understand and evaluate:
- What are the common reasons why many of the data analytics projects fail?
- What are the different ways algorithm design could become more human-centered?
- What are the strengths and challenges of the human-centric approach?
- Who and what drives the process of an algorithm?
- What criteria are used to define, design, develop, and deploy the algorithm?
- What metrics are used to measure the performance of algorithms?
While an algorithm’s designers do not necessarily want others to understand how they design the algorithm, what is the data input, where the data comes from, what code controls the performance, and how the algorithm design will work, it is essential to reach a consensus on what it means for its output and outcome. The time is now to evaluate the need for human-centric algorithmic design for data analytics.
For more, please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
Brian O’Neal is the Founder of Designing for Analytics based in the United States. He is also the Host of Experiencing Data Podcast. He helps product leaders and data strategists innovate by applying human-centered design to data science and analytics.
About the Host of Risk Roundup
Jayshree Pandya (née Bhatt), Ph.D., is a leading expert at the intersection of science, technology, and security and is the Founder and Chief Executive Officer of Risk Group LLC. She has been involved in a wide range of research, spanning security of and from science and technology domains. Her work is currently focused on understanding how converging technologies and their interconnectivity across cyberspace, aquaspace, geospace, and space (CAGS), as well as individuals and entities across nations: their governments, industries, organizations, and academia (NGIOA), create survival, security, and sustainability risks. This research is pursued to provide strategic security solutions for the future of humanity. From the National Science Foundation to organizations from across the United States, Europe, and Asia, Dr. Pandya is an invited speaker on emerging technologies, technology transformation, digital disruption, and strategic security risks. Her work has contributed to more than 100 publications in the areas of science and commerce. She is the author of the books, Geopolitics of Cybersecurity and The Global Age. She writes about Artificial Intelligence on Forbes.
About Risk Roundup
Risk Roundup, a global initiative launched by Risk Group, is a security risk reporting for risks emerging from existing and emerging technologies, technology convergence, and transformation happening across cyberspace, aquaspace, geospace, and space. Risk Roundup is released in both audio (Podcast) and video (Webcast) format and is available for subscription at (Risk Group Website, iTunes, Google Play, Stitcher Radio, Android, and Risk Group Professional Social Media).
About Risk Group
Risk Group is a leading strategic security risk research and reporting organization.
Copyright Risk Group LLC. All Rights Reserved
Autonomous Network Security 