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ARTIERI & ROHMER (Law Offices): Corporate governance


          and the challenges of artificial intelligence


                                                                                                         by Arthur Rohmer
          As its rate of adoption by business players accelerates, Artificial Intelligence (AI) management is
          increasingly becoming an issue addressed at the level of corporate governance bodies.
























                                                                                                                      © FreePik


          On 8 December 2023, the member states   monitor compliance with existing laws and   to ensure that the data meets acceptable
          of the European Union finalized the AI Act,   regulations, potentially reducing the risk of   quality standards and that it can take recourse
          regulation designed to provide a framework   non-compliance and associated fines.  against the third-party supplier in the event
          for the use of AI. If this regulation, the first   AI technologies can also automate routine   of defects.
          of its kind, has been described as «historic»,   tasks, allowing employees to focus on higher-  The use of AI also poses a risk of copyright
          it is because AI has rapidly transformed   level issues. By streamlining administrative   infringement associated with the use of
          many industries, and the business world is   processes, AI can optimize resource   protected data and the reproduction of
          no exception.                       allocation, improve operational efficiency   substantial parts of these protected works
          This is hardly surprising, as AI offers economic   and reduce costs, as businesses can achieve   in output.
          players a wide range of new opportunities to   more with fewer resources, strengthening   Difficult questions also arise about the legality
          improve their governance, both in terms   overall corporate governance.  of using data to train AI models and the
          of cost and risk reduction and revenue   In addition to the above benefits, AI can   compatibility of ‘hallucinations’ produced by
          generation (1.).                    provide greater transparency by reviewing   AI with the principle of accuracy in the GDPR.
          However, like many technologies, they are   and analyzing data on business performance,   Similarly, complying with individuals’ requests
          accompanied by pressing challenges relating,   operations and compliance.  to block or delete their data can be technically
          in particular, to the nature of the specific                             and logistically difficult if this personal data
          legal risks associated with the use of these   2. ... the use of which poses pressing   is integrated into the model.
          technologies (2.).                  challenges for businesses.           It should also be noted that while AI is often
                                              The considerable new challenges posed   seen as a tool that is becoming indispensable
          1.  Technology  for  better  corporate   by these technologies, and particularly   in the fight against fraud, it also poses new
          governance...                       the opacity of generative AI models, often   cybersecurity risks that can bypass traditional
          One of the key benefits of AI is its ability   described as «black boxes», require careful   protection measures against cyber-attacks
          to analyze huge amounts of data in near   thought upstream.              and facilitate data breaches.
          real time. This can provide a competitive   As the rapid spread of AI is fueled in part by
          advantage by enabling governance bodies   the emergence of a range of new AI-related   In view of the above, it has now become vital
          to make more informed business decisions.  tools and services offered by third parties,   for corporate governance bodies to take
          AI can also help flag up potential threats and   the heavy dependence of economic players   an interest in the impact of the use of AI.
          provide early warnings, enabling businesses   on these third parties raises questions.  Firstly, to ensure that AI is used responsibly
          to take proactive steps to mitigate risks.  For example, if a business plans to rely on   and ethically, in line with the company’s
          By  constantly  monitoring data,  AI  can   data supplied by third parties and obtained   strategic objectives and values, but also
          identify anomalies, detect fraud and improve   via AI systems, it should endeavor to put in   to better understand the opportunities and
          cybersecurity measures. Similarly, AI can   place contractual frameworks enabling it   risks it presents.

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