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OPINION                                                                  JUNE 03, 2022  |    The Indian Eye 12






























        stage.                            used  for  overseeing  the  battlefield   ence & Technology Lab (Dstl) on AI   ethical considerations of employing
            AI has been aggressively used   and collecting and archiving signals   projects which were £7million for the   AI in military systems.
        to spread disinformation in the Rus-  intelligence. It was stated at the De-  year 2021/22 and is supposed to in-  In future, AI will act as an en-
        sia–Ukraine War. Machine learning   fense One’s Genius AI Summit in   crease to £29 million in the next year.  abler to out-adapt competitors and
        algorithms have been used to amplify   April 2022 that all this information   The  influence  of  AI  on  NATO   adversaries. The current AI strategy
        misleading and fake content on so-  will be fed into systems for train-  comes with a set of opportunities,   of NATO needs to address the vul-
        cial media platforms, like doctored   ing of machine learning algorithms   challenges and risks. Its adoption   nerabilities in AI systems and related
        videos of invading forces and fake   to support future decision-making   process has been incremental and   measures for effectively using auton-
        live streams. Russia is said to have   processes. It is believed that the US   prescriptive. The rising geopolitical   omous weapon systems and military
        used AI-enabled systems not only on   and NATO allies have already built   conflicts  and  the  use  of  AI  in  such   governance of AI. The NATO accel-
        the battlefield but also in cyberspace,   such AI-enabled cyber weapons and   conflicts have required the establish-  erator has been devised to address,
        targeting the critical infrastructures   defenses, information about which is   ment of a dynamic ecosystem to sup-  prioritise, and promote interopera-
        of Ukraine. Russian troll farms have   said to be highly classified.  port interoperability. The military   bility in transatlantic cooperation to
        been alleged to have used AI-en-      The vulnerabilities in the AI sys-  adoption of AI requires an innova-  drive the strategic innovation process.
        abled systems to generate human   tems can include data poisoning and   tion ecosystem that is self-sufficient,   Furthermore, NATO needs to
        faces for fake propagandist personas   input attacks, attacking the supply   supports deterrence and resilience,   protect the use of AI from manipula-
        on social media platforms like Twit-  pipelines by simply crafting data and   and encompasses the strategic inno-  tion and disruption and align it with
        ter, Instagram and Facebook.      feeding it to public resources, white-  vation process.             its stated principle of “Responsible
            Similarly, Ukraine has been giv-  box  and black-box attacks. There   NATO’s AI strategy raises many   use of AI”. NATO needs to work on
        en free access to Clearview AI facial   is always a chance of orchestrated   concerns related to the AI-driven au-  AI adoption challenges centred on in-
        recognition software,  which  has  a   and conflicting data in the face of AI   tonomous weapon systems, as it does   novation and arms control. It can look
        database of 2 billion photos crawled   models to derail them and to exploit   not adequately address the develop-  towards bringing in guiding principles
        from Russian social media platforms.   the vulnerabilities in the algorithms,   ment of such systems, its deployment   on use of AI-driven lethal autono-
        This software is being used for the   and active manipulation by the ad-  and governance.             mous weapon systems. It is expected
        detection of Russian forces and to   versaries can be induced.          Another challenge for NATO    that in the next 2–3 years, AI’s use will
        identify the dead and gauge the       Defense Advanced Research     is to standardize rules for all mem-  be confined to the field of military lo-
        spread of disinformation in cyber-  Projects Agency (DARPA) has     ber states in dealing with AI-en-  gistics, reconnaissance, mission plan-
        space.  AI’s  analytical  potential  has   launched a Guaranteeing AI Ro-  abled autonomous weapon systems.   ning and support, predictive main-
        been tapped by companies even be-  bustness against Deception (GARD)   Countries like Turkey  are working   tenance  of  a  military  facility,  data
        fore the Russia–Ukraine war started.   programme. Under this programme,   on autonomous weapons and have   fusion and analysis, cyber defense
            The Russia–Ukraine conflict has   development efforts are being made   developed AI-enabled loitering mu-  and optimization of processes. In the
        become a test case for AI adoption   to establish a theoretical foundation   nitions. Turkey has requested the US   long run, NATO could employ AI for
        in modern warfare. The US is using   for defensible ML and the creation   for  upgraded  F-16  fighter  jets  that   more complex military applications
        the conflict as a test-bed for many of   and testing of such systems.   are said to be AI-enabled.    as it generates greater political sup-
        its  AI  projects  with  the  Pentagon’s   AI technology in modern war-  NATO will also have to focus   port for offensive AI military projects.
        ‘Maven’ project having  contributed   fare will be an intractable weapon   on the vulnerabilities and intrusion
        to  the  detection  and  classification   in  future  conflicts  beyond  Ukraine.   issues with the AI-enabled systems   Dr Sanur Sharma is Associate Fellow
        of objects of interest from various   Countries trying to achieve a techno-  and will need to set up dedicated   at Manohar Parrikar Institute for
        drone footage through AI and Ma-  logical edge over others have started   centers for AI development and test-  Defense Studies and Analyses
        chine Learning (ML) algorithms. It   considerable investments in AI tech-  ing in order to maintain a test-safe-  Views expressed are of the author and
        has been reported that the Pentagon   nology to strengthen their militaries.   ty regime for systems-of-systems   do not necessarily reflect the views of
        has been using AI and ML tools to   NATO has invested US$ 1 billion to   employed using AI. The challenges   the Manohar Parrikar IDSA or of the
        collect a vast amount of data on the   develop new AI defense technolo-  related to AI use in wars and geopo-  Government of India.
        Russia–Ukraine war and analyses   gies. The US DoD has also planned   litical conflicts need to be addressed
        it  to  learn  and  generate  battlefield   to invest US$ 874 million in AI-re-  to generate confidence in the use of   This is the abridged version of the
        intelligence about the Russian com-  lated technologies as a part of their   such systems. Additionally, testing   article which appeared first in the
        mand and control strategies.      army research and development     mechanisms and accuracy standards   Comment section of the website (www.
            The  advanced  AI-enabled  sys-  budget (federal fiscal year 2022 DoD   need to be implemented for system   idsa.in) of Manohar Parrikar Institute
        tems with the US Department of De-  budget). The UK DoD is funding   components. Policymakers need to   for Defense Studies and Analyses, New
        fense (DoD) are said to have been   suppliers to work with Defense Sci-  address the operational risks and   Delhi on May 24, 2022


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