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Addressing AI Trust, Systemic Bias & Transparency as Business Priorities

Our friend Dr Stuart Battersby, CTO of Chatterbox Labs (an Enterprise Al Company), reached out to us to share how his company built a patented AI Model Insights Platform (AIMI) to address the lack of explainability & trust, systemic bias and vulnerabilities within any AI model or system.

How Do We Make It Easier To Trust?

In this contributed article, Sean Beard, Vice President at Pariveda Solutions, discusses how automating trust presents a new set of challenges to an organization due to the subject nature of trust. Businesses must develop a better understanding of bias in their data and how different business contexts are applied to that data. With ample misinformation surrounding us all of the time, using AI machine learning, and human oversight, organizations can gain a clearer understanding of what information they can trust and what they can’t.

Researcher Develops Algorithm to Make Artificial Intelligence Fairer

A researcher from Queen’s University Belfast has developed an innovative new algorithm that will help make artificial intelligence (AI) fairer and less biased when processing data. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime.

DataRobot Reports that Nearly Half of AI Professionals are Very to Extremely Concerned about AI Bias

DataRobot, the leader in enterprise AI, released new research revealing that nearly half (42%) of AI professionals across the U.S. and U.K. are “very” to “extremely” concerned about AI bias. The research — based on a survey of more than 350 U.S. and U.K. executives involved in AI and machine learning purchasing decisions — uncovered that “compromised brand reputation” and “loss of customer trust” are the most concerning repercussions of AI bias, prompting 93% of respondents to say they plan to invest more in AI bias prevention initiatives in the next 12 months.

Overcoming Bias and Unlocking the Power of Programming Inclusivity

In this contributed article, Mariano Stampella, Business Developer at intive, argues that coding biases actually hold back technological process. Developing technology in a way that is inclusive is not only the right thing to do, but it will also enable innovation that has a far greater impact on society.