3 mins read

Responsible AI: All You Need to Know

3 mins read

Artificial Intelligence is a much familiar tech term that is majorly known for giving machines the power to behave like humans, mimic manual actions, and multiply the efficiency of the Internet-connected devices to enhance the productivity of humans.

This is what one side of people knows about it. The other segment carries a less optimistic outlook on Artificial Intelligence and believes it to conduct unfair decisions, replace workers, be amateur, exempt privacy, and more.

At some point in time, these declarations have been proven valid and need accountability for all the actions taken by AI. This notion brings into light the concept of Responsible AI, which is more ethical and liable.

Responsible AI

It is AI-driven by ethical principles that favor people first. It’s a governance framework that spells how the AI principles should be directed towards current and potential future business circumstances.

Fanatics and experts expect its systems to be fair, transparent, secure, inclusive, and responsible enough to address explicit and implicit biases to ensure equity in predictive decision-making. (especially in the dynamic spectrums of employment, healthcare, justice, financial services, etc.)

Main Objectives to Introduce Responsible AI

By eliminating biases, AI should treat people fairly.

AI-powered systems should be understandable, and promote clarity, unlike its algorithms.

Involving human power, AI systems should empower everyone and engage people.

#Reliability and Safety
The performance of the AI-enabled tools and systems should be reliable and safe.

People should be accountable for AI systems.

#Privacy and Security
Artificial Intelligence tools should facilitate data security and respect people’s privacy.

Why do we Need Responsible AI?

When we talk about self-driving cars, we can think of AI programs that are embedded within the vehicle system. This software usually runs a machine learning model that promotes automation and processes data to deliver predictive decisions.

This is AI and its standard working, discussed in brief.

Though it can be utilized in many other areas of work to streamline operations and enhance efficiency, it lacks human intervention or is limited to, in decision making, which raises concerns and issues and the need for an ideal approach to use and direct AI.

This is what paved the path to Responsible AI. This AI has some ethical requirements of Transparency that become tangible in specific capacities like documenting or being able to reproduce the activities carried out throughout the data and algorithm life cycle, from the definition of the challenge from business to training the models and putting them into production and monitoring.

And next responsibility implies being able to identify the participating stakeholders in each of the indicated phases and being capable of accountability.

How to Design Responsible AI?
We are familiar with how Artificial Intelligence is quoted as ‘algorithmic bias’ which is a pervasive issue to resolve. Certainly, one can recall this by face recognition software which is less likely to recognize people based on their color.

So it becomes essential to know how this can be reduced and eliminated. Here are some acknowledgments:

  • Define the business problem to be solved
  • Sort and structure data that occupies different opinions
  • Scrutinize and understand the training data set
  • Think about end-users and annotate with diversity
  • Test and deploy with feedback in mind
  • Revamp the traditional model and concrete a plan in mind
  • What Efforts do Organizations Need to Put?

    • Share a vision for AI that promotes social and economic progress for individuals,
      communities, and society as a whole.
      An exponential and transformative technology such as Artificial Intelligence
      impels us to bear in mind even more, that the purpose of generating value of any
      company goes beyond the business objectives and benefits, and must also be
      considered from the perspective of its contribution to the progress of the
    • Align Ourselves with the Ethical AI principles
      The framework in which we have to find the balance between guaranteeing
      ethical principles and extracting from AI carries the full potential of
      competitiveness as an economy
    • Thus, the intention to contribute to their adoption in the regulatory frameworks should be developed..

    • Welcome the opportunity to foster collaboration with other organizations to
      drive the ethical and responsible use of AI
      In short, to aspire to a collaborative ecosystem dynamic, where institutions,
      organizations, academia, and society participate proactively in shaping current
      challenges and anticipating those that continually emerge in the accelerated
      transformative speed of Artificial Intelligence.
    • Develop AI Responsibly!

      With IT experts striving to add valuable principles to Artificial Intelligence, the digital world is going to experience powerful innovations and inventions that will address society’s greatest challenges.

      As AI evolves, CodeGlo embraces to put diverse perspectives to continuous learning and software development and implements an ideal approach to innovating responsibly using the latest technologies and strategies.