As businesses today race to adopt Artificial Intelligence (AI) and other modern technologies, their ability to use them morally and in ways that create trust from partners, customers, and the public will become a major differentiator.
Decisions about the responsible use of AI are made by engineers with limited training in the complex moral considerations at play. Developing AI solutions without bearing in mind the potential human-centered consequences will create liabilities for the evolution of economic, social, and governance systems.
A responsible AI framework involves mitigating risks and considering its magnitude and the key role that it plays in maintaining societal infrastructure, those responsible must be trained from the start on how to come up with healthy outcomes.
Here are the four steps needed to develop responsible AI:
- Governance: AI efforts will thrive when businesses establish strong governance with accountability frameworks and clear ethical standards. Good governance on AI is based on explainability, transparency, accountability, and fairness.
- Monitoring: It is important for businesses to examine the performance of their AI against key metrics. They must include algorithmic accountability, security metrics, and bias.
- Design: Businesses must develop solutions that conform to ethical AI design standards. They should apply a context of explainable AI and design a collaborative user interface and enable trust in their AI by accounting for security, privacy, and transparency from the outset.
- Reskilling: Businesses must ensure that the understanding of AI is democratized across their business to break down hurdles for individuals impacted by the technology. They should rework organizational structures through an AI mindset and retain talent for long-term AI impact.
Creating an Ethical Mindset
Aligning AI with business ethics lets them change the way workers think about using it. As part of their work, they must create structures that permit them to use AI sensibly and introduce transparency into machine-learning models. It is somewhat similar to businesses talking about the culture they wish to develop and the guidelines they expect workers to follow.
Discussions about the ethical use of AI must not be limited to just a few. They need to reinforce it across their business and among community members and partners. The right use of AI must also be rooted in business ethics. If businesses do not operate by keeping their core business values in mind, they will fail to develop an ethical AI mindset for their workers.
The benefits of AI are unfolding slowly and countries such as China and India have a great opportunity to make the most of AI in their development and help deliver positive societal benefits globally. It is imperative for us to ensure a complete global public policy environment that encourages and enable investment in the deployment and development of responsible AI.