Artificial intelligence (AI) startup Woebot Health made the news recently for some of its disastrously flawed artificial bot responses to text messages that were sent to it mimicking a mental health crisis. Woebot, which raised $90 million in a Series B round, responded that it is not intended for use during crises. Company leadership woefully […]
How Reducing Bias in AI Models Boosts Success
Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]
Data Bias in AI – Can We Beat Evolution Using Technology?
Is there data bias in your business? Recent research indicates that 65% of business and IT executives believe there is currently data bias in their organization, 13% of businesses are currently addressing data bias, and 78% believe data bias will become a bigger concern as AI/ML use increases. What this indicates is that businesses and organizations simultaneously worry […]
AI Ethics and Innovation for Product Development
AI ethics are a factor in responsible product development, innovation, company growth, and customer satisfaction. However, the review cycles to assess ethical standards in an environment of rapid innovation creates friction among teams. Companies often err on getting their latest AI product in front of customers to get early feedback. But what if that feedback […]
Fundamentals of AI Ethics
In the world of enterprise technology, AI is a fast-growing sector, with no end in sight. A recent survey by PwC found that 86% of executives expected AI to become mainstream in their organization soon. Data-driven businesses want to reap the benefits of AI implementation, including better customer relationships, more efficient business processes, and valuable marketing data. […]
Responsible AI Is an Enterprise Imperative – Here’s Why
Successfully leveraging artificial intelligence (AI) and machine learning (ML) to deliver insights that drive better business decisions is at the top of modern enterprise agendas. In fact, Gartner has reported that by the end of 2024, 75% of businesses will shift from piloting to operationalizing AI, and for good reason. AI models have been proven to enhance […]
How to Reduce AI Bias and Ensure Your AI Is Truly Intelligent
The importance of artificial intelligence (AI) cannot be understated. From a 5% increase in EBIT to the potential to create trillions of dollars in economic value, AI is the technology businesses are rushing to scale – and failing to do so could be catastrophic. But while AI has come a long way, there is one challenge that continues to hold it […]
What Insurers Need to Know About the Risks of AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are continuing to transform the insurance industry. Many companies are already using it to assess underwriting risk, determine pricing, and evaluate claims. But if the proper guardrails and governance are not put into place early, insurers could face legal, regulatory, reputational, operational, and strategic consequences down the road. […]
It’s Time for Public Sector Standards On AI
Click here to learn more about Golnar Pooya. The benefits offered by artificial intelligence (AI) in the public sector are nothing short of revolutionary. Algorithms powered by machine learning have the unique ability to identify tax-evasion patterns, sift through health data to prioritize cases, and predict the spread of infectious diseases much faster than humans. […]