The 12 Greatest Dangers Of AI

AI and deep learning models can be difficult to understand, even for those who work directly with the technology. This leads to a lack of transparency for how and why AI comes to its conclusions, creating a lack of explanation for what data AI algorithms use, or why they may make biased or unsafe decisions. These concerns have given rise to the use of explainable AI, but there’s still a long way before transparent AI systems become common practice. The rise of AI-driven autonomous weaponry also raises concerns about the dangers of rogue states or non-state actors using this technology — especially when we consider the potential loss of human control in critical decision-making processes.

Life Work

AI-generated content, such as deepfakes, contributes to the spread of false information and the manipulation of public opinion. Efforts to detect and combat AI-generated misinformation are critical in preserving the integrity of information in the digital age.

Socioeconomic Inequality as a Result of AI

But it’s also prudent to carefully consider the potential disadvantages of making such a drastic change. Adopting AI has a myriad of benefits, but the disadvantages include things like the cost of implementation and degradation over time. When it comes to processing data, the scale of data generated far exceeds the human capacity to understand and analyze it. AI algorithms can help process higher volumes of complex data, making it usable for analysis. Humans disagree and allow their biases to leak through in their decisions all the time. All humans have biases, and even if we try and solve for them, they sometimes manage to sneak through the cracks.

In business, humans aren’t very good at consistently and accurately making decisions based on data. You just need to understand that AI is different than other technology because of its capacity to learn and improve over time. It describes how to calculate direct labor cost many different technologies that have this ability to learn and improve on their own. To help you unpack AI, we’ve compiled the list of the top 20 pros and cons of artificial intelligence that are critically important to understand today.

1. Artificial intelligence is already having a profound effect on society, an impact that promises to become even greater as the technology becomes more sophisticated.
2. As a result, bad actors have another avenue for sharing misinformation and war propaganda, creating a nightmare scenario where it can be nearly impossible to distinguish between credible and faulty news.
3. Automated decision-making may produce skewed results that replicate and amplify existing biases.
4. Though automation is here to stay, the elimination of entire job categories, like highway toll-takers who were replaced by sensors because of AI’s proliferation, is not likely, according to Fuller.

The good news, Littman says, is that the field is taking these dangers seriously and actively seeking input from experts in psychology, public policy and other fields to explore ways of mitigating them. The makeup of the panel that produced the report reflects the widening perspective coming to the field, Littman says. Elsewhere, AI systems are diagnosing cancers and other conditions with accuracy that rivals trained pathologists. Research techniques using AI have produced new insights into the human genome and have sped the discovery of new pharmaceuticals. And while the long-promised self-driving cars are not yet in widespread use, AI-based driver-assist systems like lane-departure warnings and adaptive cruise control are standard equipment on most new cars. Brown University — Artificial intelligence has reached a critical turning point in its evolution, according to a new report by an international panel of experts assessing the state of the field.

Bias and Discrimination

Large gaps in case law make applying Title VII—the primary existing legal framework in the US for employment discrimination—to cases of algorithmic discrimination incredibly difficult. These concerns are exacerbated by algorithms that go beyond traditional considerations such as a person’s credit score to instead consider any and all variables correlated to the likelihood that they are a safe investment. Loss of autonomy can also result from AI-created “information bubbles” that narrowly constrict each individual’s online experience to the point that they are unaware that valid alternative perspectives even exist.

We can’t recognize patterns like AI can, or at the speed and scale AI can. This is why AI is able to facilitate these types of solutions—solutions that humans can’t do or miss entirely. As one example, eBay used AI to predict which email subject lines customers would open. The predictions were better than those made by human copywriters, and raised average open rates by 15%. It analyzes data, then uses that data to make (hopefully) accurate predictions.

These algorithms then make thousands of trades at a blistering pace with the goal of selling a few seconds later for small profits. Selling off thousands of trades could scare investors into doing the same thing, leading to sudden crashes and extreme market volatility. If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions. Some fear that, no matter how many powerful figures point out the dangers of artificial intelligence, we’re going to keep pushing the envelope with it if there’s money to be made. Along with technologists, journalists and political figures, even religious leaders are sounding the alarm on AI’s potential pitfalls.