1. Potential risks of using AI
  2. Unforeseen consequences
  3. Potential negative effects on society

Potential Negative Effects on Society: Understanding the Risks of Incorporating Synthetic AI Advisory Boards

Exploring the Risks and Unforeseen Consequences of Using AI in Decision Making through Synthetic AI Advisory Boards

Potential Negative Effects on Society: Understanding the Risks of Incorporating Synthetic AI Advisory Boards

Artificial Intelligence (AI) has become an integral part of our modern society, with its capabilities being utilized in various industries and sectors. From self-driving cars to virtual assistants, AI has made our lives easier and more efficient. However, as with any new technology, there are potential negative effects that need to be carefully considered before fully incorporating it into our society. In this article, we will delve into the potential risks of using AI and how it could lead to unforeseen consequences. Specifically, we will focus on the incorporation of synthetic AI advisory boards and the potential negative impact it could have on our society. As AI continues to evolve and become more sophisticated, there is a growing concern about its ability to make decisions and provide recommendations that could have significant consequences on our society.

It is crucial to understand these risks and take proactive measures to mitigate them. Join us as we explore the potential negative effects on society and gain a better understanding of the risks associated with incorporating synthetic AI advisory boards. To fully grasp the potential negative effects of synthetic AI advisory boards on society, we must first understand what they are and how they work. These boards are essentially a group of algorithms that are designed to provide advice or recommendations to decision makers. They analyze data, identify patterns, and make predictions, which can then be used to inform decisions. While this may seem like a valuable tool, there are several potential risks that come with relying on AI for decision making. One major concern is the lack of transparency in how these algorithms make decisions.

Unlike humans, AI is not able to explain its reasoning or provide context for its recommendations. This can lead to biased or inaccurate advice being given, which can have serious consequences for society. Another risk is the potential for AI to perpetuate and amplify existing societal inequalities. If the data being fed into these algorithms is biased or incomplete, the recommendations made by the AI will also be biased. This can reinforce discrimination and widen existing disparities in areas such as employment, healthcare, and criminal justice. Additionally, the use of AI advisory boards can also raise ethical concerns.

Who is responsible if the AI makes a decision that has negative consequences? Is it the programmers who created the algorithm, the company that implemented it, or the decision makers who relied on its recommendations? These questions have yet to be fully addressed and could have serious implications for accountability and liability. There is also the risk of unintended consequences when incorporating synthetic AI advisory boards into decision making processes. As these algorithms are trained on historical data, they may not be equipped to handle novel situations or changing circumstances. This could lead to unexpected outcomes and potentially harmful decisions being made. Lastly, there is the concern of job displacement. As AI becomes more advanced and integrated into various industries, there is a fear that it will replace human workers.

This could result in job loss and economic instability, particularly for those in lower-skilled or repetitive jobs. It is important to carefully consider these potential negative effects on society when incorporating synthetic AI advisory boards into decision making processes. While AI can offer many benefits, it is crucial that we proceed with caution and ethical considerations to ensure that its use does not harm individuals or society as a whole.

The Risks of Biased Data

One of the main concerns with using AI in decision making is the risk of biased data. Since AI learns from data that it is provided, if the data is biased, the decisions made by the AI will also be biased. This can lead to discriminatory practices and perpetuate existing inequalities.

Lack of Human Oversight

Another potential risk is the lack of human oversight in the decision making process.

While AI can analyze vast amounts of data quickly, it lacks the ability to understand the context and nuance of a situation. This can lead to decisions that may seem logical based on the data, but may have negative consequences in reality.

Unintended Consequences

Additionally, there is the risk of unintended consequences when using AI for decision making. Since AI is based on algorithms, it can only make decisions based on the information it has been given. This means that if there are factors or variables that are not included in the data, the decisions made by the AI may not consider these factors and could have unintended consequences. While there are certainly benefits to incorporating synthetic AI advisory boards into decision making processes, it is important to also consider the potential risks.

By being aware of these risks, we can take steps to mitigate them and ensure that our use of AI is ethical and responsible.

Dr Andrew seit
Dr Andrew seit

★★★★ "Technology’s highest calling is to give us back our most precious asset — time — so we can live the lives we were truly meant to lead."★★★★Dr. Andrew Seit is a commercially grounded, technically fluent executive with a 25+ year track record in digital transformation, AI commercialisation, and GTM leadership across APAC. With a PhD in Computational Vision and executive experience spanning Microsoft, Singtel, FAST, ADI and ESRI, he bridges deep tech fluency with real-world marketing, mentoring, and sales impact. Andrew has delivered growth and transformation across Telco (Singtel, Cable & Wireless), Media & Retail (Microsoft, FAST), Finance & Banking (ESRI, Microsoft), Defence (ADI), Government, Healthcare (ESRI, RNSH), FMCG Retail, and F&B. His work spans AI, semantic search, predictive analytics, and digital transformation—from infrastructure to customer-facing innovation. He has built and led cross-functional teams, mentored PhD candidates and business staff alike, and shaped technical marketing strategies that align innovation with revenue. As co-founder of ROBOBAI and architect of Aegis SIMFORGE, a GPT-powered foresight platform spanning 10+ verticals, he continues to champion responsible AI, digital inclusion, and strategic scalability. His mission: help organisations unlock time, scale ethical innovation, and bring powerful ideas to life.Passionate about partnering with companies to innovate, develop, and execute go-to-market strategies that accelerate growth. I excel in unlocking market potential by applying new ideas, cutting-edge technologies, and disruptive business models—especially when entering high-growth markets. I’m driven by the opportunity to shape transformative strategies powered by actionable AI insights and foresight.