Artificial intelligence in the work of a lawyer
Artificial intelligence (AI) is increasingly important in the work of a lawyer, especially in areas that require analysis of large data sets and rapid processing of information. While it can help lawyers perform their duties, it will not fully replace them.
Why AI artificial intelligence may never be able to match us?
It cannot be ruled out that in the future artificial intelligence will be able to reach the level of human intelligence on certain levels, but at present there are many technological and cultural limitations that make this still very unlikely.
Artificial intelligence and large LLM language models vs. human copyright infringement
The risk of copyright infringement through artificial intelligence (AI) solutions is real and comes with various risks. It concerns both the use of copyrighted data as training, validation and testing data for AI models and the risk that the results of large language models infringe on the rights of third parties.
Copyright in artificial intelligence results
Copyright issues in the context of artificial intelligence are still relatively new and may need to be clarified by legislation and judicial practice.
The use of artificial intelligence in politics and political marketing
The use of artificial intelligence in politics and political marketing also raises some controversies and challenges, such as privacy or ethical issues related to voter manipulation. It is therefore important to properly regulate and control the use of artificial intelligence in these areas and to ensure transparency in operations.
Legal control over the development of artificial intelligence
Legal control over the development of artificial intelligence is important because of the potential ethical, social and economic consequences associated with its use. There are a number of areas that should be legally regulated in relation to the development of artificial intelligence, such as the protection of privacy, liability for damage caused by AI-based systems or ensuring fair and equitable access to the technology.
Is artificial intelligence capable of acting on its own?
Artificial intelligence (AI) is able to act autonomously, but in a way that is defined and limited by its programming and algorithms. AI can make decisions, perform tasks and process data without human intervention in most cases. However, there is always a risk that AI may act contrary to the intentions of its creators, which can lead to unpredictable consequences
Skarbiec Law Firm can help you identify the right procedures and write regulations related to the use of artificial intelligence in your business. Don’t let it become an accident and your employees use artificial intelligence tools in the workplace beyond your knowledge and control.
AI regulations – prohibitions and obligations
The EU wants to regulate the use of artificial intelligence (AI). The European Parliament on 13 March 2024 adopted a regulation on the matter, the so-called Artificial Intelligence Act. It defines which practices of using AI are prohibited and which pose a high risk to humans, and establishes transparency obligations for certain AI systems. Most of the new obligations fall on suppliers (implementers, providers, developers) of high-risk artificial intelligence systems. Failure to comply with them can lead to a fine of up to €35 million for the entrepreneur.
What is artificial intelligence AI?
In February 2021, Dr Marek Ciecierski and I explained the basics of artificial intelligence in the article ‘Artificial intelligence in the service of OSINT’:
“Artificial intelligence (AI) is the intelligence exhibited by artificially created devices (as opposed to natural intelligence). The term was coined by John McCarthy, who first used it in 1956 at the Dartmouth Conference. In colloquial speech, it is often used in the context of ‘true artificial intelligence’. In computer science and cognitive science, it also refers to the creation of models and programmes that simulate at least partially intelligent behaviour. Artificial intelligence is also considered in philosophy (philosophy of artificial intelligence) and is of interest to the social sciences. Andreas Kaplan and Michael Haenlein define it as ‘the ability of a system to interpret external data correctly, learn from such data and use the acquired information to achieve specific goals and tasks through flexible adaptation’. Currently, artificial intelligence has two primary meanings:
- it is a hypothetical intelligence realised through a technical process rather than a natural one;
- it is the name of a technology and research field of computer science and cognitive science that also draws on the achievements of psychology, neuroscience, mathematics and philosophy.
The main task of artificial intelligence research in the latter sense is to construct machines and computer programmes capable of performing selected functions of the mind and human senses, not amenable to numerical algorithmisation. Such problems are sometimes referred to as hard problems for artificial intelligence and include:
- decision-making in the absence of all data
- analysis and synthesis of natural languages,
- logical/rational reasoning,
- automatic proof of assertions,
- computer logic games, e.g. chess,
- intelligent robots,
- expert and diagnostic systems.
Artificial intelligence is linked to the areas of machine learning, fuzzy logic, computer vision, evolutionary computing, neural networks, robotics and artificial life. It is rapidly finding its place in key areas of human activity. According to information published by Accenture, it will soon account for 25% of all technology spending. Artificial intelligence, which assists human intelligence with efficient processing and precise data analysis, enables better motivated decisions and automation streamlines operations. Three factors have contributed to the expansion of these new technologies. The first is the cloud, which has provided access to large amounts of computing power on demand. The second is the exponentially growing volume of data (90% of the world’s data was created in the last two years alone), which has exceeded the critical mass required for the intelligent algorithms that underpin artificial intelligence and automation. The third factor is new tools that a company can easily implement and integrate into its ITenvironment. ”
https://www.wywiad-gospodarczy.pl/sztuczna-inteligencja-w-sluzbie-osint.html
Interesting publications on the development of artificial intelligence
[November 2023] NOEMA MAGAZINE: “Artificial general intelligence is already here. The most advanced models of artificial intelligence today have many flaws, but in a few decades they will be recognised as the first true examples of artificial general intelligence.”
Artificial general intelligence (AGI) means many different things to different people, but the most important elements of it have already been achieved with the current generation of advanced multilingual artificial intelligence models such as ChatGPT, Bard, LLaMA and Claude. These ‘frontier models’ have a number of flaws: they produce hallucinations with respect to scientific citations and court cases, fix errors from training data and make simple arithmetic errors. Fixing each flaw (including the one often made by humans) would require building an artificial superintelligence, which is a completely different project.
Nevertheless, today’s pioneering models can competently handle even new tasks for which they have not been trained, crossing a threshold that previous generations of artificial intelligence and supervised deep learning systems never reached. In a few decades they will be recognised as the first true examples of AGI, just as the ENIAC of 1945 is now recognised as the first true general-purpose electronic computer (…)”
https://www.noemamag.com/artificial-general-intelligence-is-already-here/
[November 2023] FAST COMPUTER: 25% faster and 40% better. Here’s how managers can harness the productivity potential of generative artificial intelligence.
“Artificial intelligence (AI) has long promised to revolutionise businesses and increase productivity. This year, generative AI tools such as ChatGPT have significantly disrupted industries and work processes, according to a new McKinsey report. Now we have definitive proof that artificial intelligence can significantly improve the productivity and quality of white-collar workers. A groundbreaking new study by researchers at Harvard Business School in collaboration with the Boston Consulting Group (BCG) provides solid evidence of the transformative potential of artificial intelligence.”
A selection of quotes was compiled by Robert Nogacki. ChatGPT contributed to the development of the comments. Content compiled on 8 December 2023. Who knows if they will also be relevant tomorrow? Artificial intelligence is changing every day.
