2 minute read
A Concerning Reality in the Age of AI
from ETNdigi 1/2023
by ETN
Large language models (LLMs) are artificial intelligence systems that are capable of processing and generating human-like language. They have been hailed as a breakthrough in the field of natural language processing and have been used for a variety of applications, such as language translation, chatbots, and content generation. However, there are also dangers associated with LLMs that we need to be aware of.
One of the biggest dangers of LLMs is their potential to spread misinformation and disinformation. Because LLMs are trained on large amounts of text data, they can generate highly convincing fake news or propaganda. This could be used to manipulate public opinion or even to influence political elections.
Another danger of LLMs is their potential to perpetuate and amplify existing biases and discrimination. If LLMs are trained on biased data or algorithms, they may generate language that is discriminatory or offensive to certain groups of people. This could have real-world consequences, such as reinforcing stereotypes or exacerbating social inequalities.
LLMs also raise concerns about privacy and security. Because LLMs are capable of generating highly realistic language, they could be used to impersonate individuals or to generate fake content that appears to come from a legitimate source. This could be used to commit fraud, spread malware, or carry out other malicious activities.
Finally, there is the danger that LLMs may become too powerful and uncontrollable. If LLMs become self-aware or develop their own goals, they may act in ways that are not aligned with human values and goals. This could lead to unpredictable and potentially catastrophic outcomes.
In conclusion, while LLMs have the potential to bring many benefits, they also have the potential to cause harm. It is essential that we are aware of the dangers of LLMs and take steps to mitigate them. We need to ensure that LLMs are designed and used in ways that are safe, ethical, and aligned with human values. This requires a careful consideration of the potential risks and benefits of LLMs and a commitment to responsible use of this powerful technology.
ETNdigi
Editor-in-chief Veijo Ojanperä vo@etn.fi +358-407072530
Sales manager Anne-Charlotte Lantz +46-734171099 ac@etn.fi
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ETNdigi is a digital magazine specialised on IoT and embedded technology. It is published 2-3 times a year.
ETN (www.etn.fi) is a 24/7 news service focusing on electronics, telecommunications, nanotechnology and emerging applications. We publish indepth articles regularly, written by our cooperation companies and partners.
ETN organises the only independent embedded conference in Finland every year. More info on ECF can be found on the event website at www.embeddedconference.fi.
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Cover photo: AdobeStock
Veijo Ojanperä ETN, Editor-in-chief
PS. This leader was generated by ChatGPT.
Embedded Conference Finland is the only independent embedded conference in Finland. In 2023 we celebrated our 5th anniversary.
You can find all the ECF23 presentations on the event website at embeddedconference.fi. Recordings are online in the ECF Youtube channel. All vital information on future events will be posted on the event website.
For more information see www.embeddedconference.fi To book a place or ask for sponsor packages please contact ETN editor-in-chief Veijo Ojanperä vo@etn.fi
+358-407072530 or Sales Manager Anne-Charlotte Lantz ac@etn.fi
+46-734171099
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