Data analytics companies can navigate risks of emerging technology
Take Pause
Artificial intelligence (AI) is advancing rapidly. Gone are the days when the concept was an idea of science fiction. It has pervaded many facets of everyday life with no signs of stopping. We’re already using AI in many forms: chatbots, autonomous vehicle technology and much more. Many industries have begun to embrace AI. It’s increasing efficiency, improving decision-making and supporting convenience. Initially, it seems like artificial intelligence is a groundbreaking new technology that will solve all our problems.
However, AI’s rapid evolution and its human origin commands caution and critique. As a data analytics company, we know how important it is to critically examine emerging technologies to ensure they are used responsibly and effectively. Let’s consider some of the concerns and potential biases that can be perpetuated by AI. Then let’s discuss how Parallel Analytica is countering them.
The Similarities of AI Language Models
One of the most popular AI technologies, Chat GPT, is a large language model (LLM). LLMs are quite similar to a translation engine. Translation engines analyze the context, structure and patterns of a particular sentence to provide a translation. Comparatively, LLMs are also being trained on enormous amounts of data to interpret language and create clear and contextually relevant responses.
With any translation engine, they rely on the sequencing of words to provide meaning. These engines are good at recognizing patterns. Then they provide a relevant text response. However, it’s imperative to remember that they lack comprehension and understanding of the concepts of which they generate content.
Systemic Biases of AI
Below the surface, LLMs like AI systems can perpetuate systemic societal biases. A reflection of societal and historical prejudices, imbalances and discrimination are unfortunately present in the training data that these AI tools learn from. The goal to establish an inclusive and unbiased AI system is often mired by an unfortunate reality. These systems can inadvertently perpetuate biases and create new ones.
This is an even thornier issue when training data is tarnished by biases which become replicated in the generated text. These models can unknowingly perpetuate stereotypes, harmful narratives and discriminate against certain groups. Parallel Analytica is an ethical data analytics company and works hard to address and mitigate these biases for our clients.
Innovating with Intention
AI will continue to rapidly advance in technological capability and throughout society. It’s important to be aware of the potential risks and biases that could arise. At Parallel Analytica, we know these challenges that come with the advancement of AI tools and we’re empowering our clients to use it ethically and effectively.