Artificial intelligence frameworks could be liable for up to $3.9 trillion of significant value creation by 2022, as per Gartner. The concept of responsible AI has become prominent, driven by citizens and government concerns with respect to biases, misinformation and other ethical breaches. Organizations’ growing reliance and manipulation of client and user information are stressing the requirement for more responsible data management.

Increasing the norm of AI reporting – Progress toward AI metrics is being made. At SASB, Greg Waters, has as of late built up an evaluation of web content moderation. Scott David at the University of Washington, has done a comprehensive investigation publishing the open-source Atlas of Information Risk Maps. Such analyses and standards will quickly advance into meaningful additional ESG disclosures to be applied to corporate spending on AI supply chains.

SASB, the Carbon Disclosure Project, the Climate Disclosure Standards Board, the GRI and the International Integrated Reporting Council are working toward the need for a standardized set of ESG metrics. At Sustainability for Skeptics, a news conference held at King’s College London (which united business leaders and scholars), the ESG reporting was compared and the annual reporting before the Wall Street crash of 1929. According to Andrew Susman, COO, Institute for Advertising Ethics, building an agreement around the need to integrate AI into ESG metrics will help to deal with the risks of a business.

– Build an agreement around the need to integrate AI into ESG metrics: Ground-breaking governance and IR experts will engage with competitors, investors, regulators and peers to assemble a wide agreement around the need to integrate responsible AI metrics into the ESG database. Work with the database providers like MSCI and Sustainalytics to push for AI inclusion. Exhibit your longing for such AI disclosures as well as the willingness to provide them on behalf of the organization.

Be a change-maker – As the possibility of a reasonable, worldwide system of ESG reporting appears on the horizon, there will never be been a better opportunity to ensure that the effects of unethical AI on consumers and citizens are recognized and the risks to organizations are mitigated via timely disclosure.

If stakeholders can understand the effects of AI and ESG in a manner that is significant to the allocation of capital, there are change-makers in each organization hanging tight for an opportunity to step up and push for their organization to make these disclosures, in light of the interests of all stakeholders.