1. General
Category
Other
Please describe Other
Ethics for AI improving outcomes for all initiatives by reducing bias and assumptions.
Category
Other
Please describe Other
All Industries
2. Project Details
Company or Institution
Concept not aligned to any formal organization
Project
Ethics for AI
General description of the AI solution
Ethics for AI improving outcomes for all initiatives by reducing bias and assumptions. An engine trained in ethics utilizing the best ethics practices from every continent, nation and culture; including human rights, education levels, social backgrounds, laws, codes of conduct, etc… Encompassing the 17 UN Sustainable Development Goals or distinctively defined for each one.
Website
https://www.linkedin.com/in/mark-martin-cscp-136927159/
Organisation
NA
3. Aspects
Excellence and Scientific Quality: Please detail the improvements made by the nominee or the nominees’ team or yourself if your applying for the award, and why they have been a success.
Concept:
An ethics engine trained in ethics utilizing the best ethics practices from every continent, nation and culture; including human rights, education levels, social backgrounds, laws, codes of conduct, etc… Encompassing the 17 UN Sustainable Development Goals or distinctively defined for each one.
The engine evaluates and scores content and outcomes.
Results provided via a scorecard rating, scoring the ethics validity.
A dashboard user interface provides insights and recommendations giving stewards the opportunity to build new rules, retrain models, modify source files, adjust code, etc…
Goal:
To improve outcomes of AI projects by reducing bias and assumptions found within the information supply chain.
Scaling of impact to SDGs: Please detail how many citizens/communities and/or researchers/businesses this has had or can have a positive impact on, including particular groups where applicable and to what extent.
The key performance indicator for the ethics engine concept is improving the outcomes for any and all AI projects tied to any one of the SDGs. Bias and assumptions are not limited to terminology, language or slang; unethical information exists in the form of processes, procedures, protocols, etc… we have historically documented everything from the point of view based on the origin of the author's perceptions of how the world should work. The core foundation of all information should reside in an ethical existence encompassing humanitarian principles.
The intent is an ethic engine adaptable by a wide variety of applications from social media to SCADA/HMI. An accessible capability used for scoring content ingestion, training models and weighing outcomes. While today's AI projects tend to focus on a dominant variable with supporting information; the ethics engine concept will push the limits of AI by requiring development in collaboration across multiple AI technologies equally such as, speech, text, imaging, etc…
Scaling of AI solution: Please detail what proof of concept or implementations can you show now in terms of its efficacy and how the solution can be scaled to provide a global impact ad how realistic that scaling is.
No proof of concepts or implementations exist today. This is purely a concept on the drawing board. The original idea was based on providing clinical practitioners an application for their patients to leverage in-between sessions with two goals; first to help sustain contact and lower patient costs by accessibility away from an in-office session, secondly provide AI insights through speech, text, imaging to identify threats to oneself or others and trigger an alarm to the clinician.
As AI started moving towards sustainability development, the concept grew to encapsulate a larger reach to improve outcomes for not only humans, but also earth.
Ethical aspect: Please detail the way the solution addresses any of the main ethical aspects, including trustworthiness, bias, gender issues, etc.
An ethical engine with a broad reach does not existing today. Each individual AI project has to determine what they believe is ethical while working on the project. This continues to allow bias and assumptions to be used in training content, model design and ultimately influencing outcomes. While no two humans are alike and no two sustainability development initiatives are alike, we can establish fundamental ethics which follow laws and morals associated with respecting and incorporating human rights, cultural knowledge, education implications, social adherence, etc…
For example, let's look at the SDG Quality Education. One could easily say that accessibility to the highest level of institutional education is the goal worldwide for every human on the planet. But who or what determines that global accessibility to a doctorate program defines a "quality education"? Why would real-life experiences be weighted less or excluded? I know numerous individuals who don't have any formal education, yet have tremendous insight and offer valuable information when problem solving in their communities. So to the point… traditional AI projects would look at Quality Education with one dominant variable, when in fact there are multiple variables needed to derive appropriate outcomes that truly impact individuals, communities, cultures, etc… Furthermore, perhaps working to make the highest level of education accessible puts stress and anxiety on not only individuals, but the surrounding community, families, etc…