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that collection and usage. AI systems should leverage privacy by design model with default protections
            in place, such as only collecting data necessary for functionality in order to support the goal of trust and
            transparency with AI.



            Notice and Explanation

            By now,  the ongoing  theme  of transparency  is clear. Understanding  the  operations  of AI is  critical for
            ethical and true consent. AI should not be hidden, but rather, individuals should be clearly informed when
            and how AI is being used with accessible, understandable,  and technically  valid language. By ensuring
            that  individuals  grasp  AI’s  involvement,  logic,  and  decision-making  processes,  more  trust  can  be
            established and potential issues like biases can be easier identified.



            Human Alternatives, Consideration,  and Fallback

            While AI is advancing at an incredible rate, offering efficiencies and functionalities beyond human ability,
            it does not eliminate the need for maintaining human oversight. When possible, individuals should have
            the option for human  intervention  rather than depending solely on AI’s automated  processes. While AI
            has proven  powerful and  often effective,  it’s not at the point where it should  have sole discretion  over
            decisions that significantly impact lives, such as in healthcare, employment, or legal judgements. Fallback
            or escalation processes to human for consideration should be in place for system failures, errors, and for
            appeals  of  decisions  made.  These  mechanisms  are  necessary  for  accessible,  equitable,  effective
            treatment.  By  preventing  an  over-reliance  on  AI and  providing  human  touchpoints,  risks can  be more
            effectively mitigated, promoting accountability, trust, and transparency through these processes.



            Regulatory Lag

            While the framework above provides a solid foundation, it is simply a blueprint for the AI Bill of Rights –
            true  regulations  can  take  years  longer.  Regulatory  lag  is  not  a new  concept  and  with  the  pace  of AI
            advancements,  the  gap  between  AI,  its  concerns,  and  regulation  will only  grow.  The  EU  has  already
            published  the EU  Artificial  Intelligence  Act which,  much  like GDPR,  is likely to set  the groundwork  for
            other  regulations  worldwide.  With  the power and  trajectory  of AI, perhaps  it’s time  for an international
            governance  body  made  up  of  diverse  stakeholders  (including  governments,  private  businesses,
            academics) to oversee development and deployment of AI with proactive regulation and global standards.
            However,  an attempt to push regulation  may be viewed as stifling innovation,  so there would be much
            debate to be had.

            For  now,  the  principles  in  the  Blueprint  for  an  AI  Bill  of  Rights  provide  a  valuable  framework  for  AI
            designers and developers to safeguard the personal rights of users, while promoting fairness, safety, and
            effectiveness  of  the  tools.    While  many  are  focused  on  bringing  the  public  the  latest  innovative
            technologies, there must be a balance with accountability and liability to comply with the basic principles
            of privacy, security, and fairness.





            Cyber Defense eMagazine – July 2024 Edition                                                                                                                                                                                                          45
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