While these issues are still being worked out by policymakers and regulatory agencies, enterprises can incorporate accountability into their AI governance strategy for better AI. Here’s a closer look at 10 dangers of AI and actionable risk management strategies. Many of the AI risks listed here can be mitigated, but AI experts, developers, enterprises and governments must still grapple with them.
To get the most out of this promising technology, though, some argue that plenty of regulation is necessary. Many of these new weapons pose major risks to civilians on the ground, but the danger becomes amplified when autonomous weapons fall into the wrong hands. Hackers have mastered various types of cyber attacks, so it’s not hard to imagine a malicious actor infiltrating autonomous weapons and instigating absolute armageddon. Amanda Athuraliya is the communication specialist/content writer at Creately, online diagramming and collaboration tool. She is an avid reader, a budding writer and a passionate researcher who loves to write about all kinds of topics.
Performs mundane and repetitive tasks
- Some of these systems are now capable of producing original text that is difficult to distinguish from human-produced text.
- Plus, overproducing AI technology could result in dumping the excess materials, which could potentially fall into the hands of hackers and other malicious actors.
- If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions.
- In an evolving job market, this can lead to unemployment and reskilling workers.
The report, released on Thursday, Sept. 16, is structured to answer a set of 14 questions probing critical areas of AI development. The questions were developed by the AI100 standing committee consisting of a renowned group of AI leaders. The committee then assembled a panel of 17 researchers and experts to answer them.
Job Losses Due to AI Automation
That has enabled better web search, predictive text apps, chatbots and more. Some of temporary and permanent accounts these systems are now capable of producing original text that is difficult to distinguish from human-produced text. 3 min read – Solutions must offer insights that enable businesses to anticipate market shifts, mitigate risks and drive growth. But the data that helps train LLMs is usually sourced by web crawlers scraping and collecting information from websites. This data is often obtained without users’ consent and might contain personally identifiable information (PII).
Socioeconomic Inequality as a Result of AI
When people can’t comprehend how an AI system arrives at its conclusions, it can lead to distrust and resistance to adopting these technologies. Self-aware AI has yet to be created, so it is not fully known what will happen if or when this development occurs. Voice cloning has also become an issue, with criminals leveraging AI-generated voices to impersonate other people and commit phone scams.
To prevent malicious exploitation, AI technologies need to be robust and secure. Artificial intelligence could displace humans as it automates jobs previously done by humans. In an evolving job market, this can lead to unemployment and reskilling workers.
As an example, he pointed to AI’s use in drug discovery and healthcare, where the technology has driven more personalized treatments that are much more effective. To deliver such accuracy, AI models must be built on good algorithms that are free from unintended bias, trained on enough high-quality data and monitored to prevent drift. The risk of AI development being dominated by a small number of large corporations and governments could exacerbate inequality and limit diversity in AI applications. Encouraging decentralized and collaborative AI development is key to avoiding a concentration of power. AI still has numerous benefits, like organizing health data and powering self-driving cars.
