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4 Steps to Help Organizations Embrace Risk from Emerging Technology

As companies continue to navigate the changing work environment brought on by the pandemic, it has become clear that business leaders will need to get comfortable revising and adapting their strategies to deal with disruption brought on from new technologies and new regulation. As risk management professionals, these rapid changes have made our job more important than ever to our organizations.

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Yet the majority of our organizations—particularly in C-suites—remain far from giving risk management experts the seat at the table they need to effectively safeguard against enterprise threats, digital or otherwise.

Data from PwC’s Global Risk Survey 2022 shows that executives are starting to recognize these risks: 79% of executives report that they view the breakneck speed of digital transformation as a significant risk management challenge. Moreover, this renewed focus is translating into increased funding, as 65% of organizations are increasing their spending on risk management technology and 56% said they planned to invest in risk culture and behavioral risk in 2022.

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Unfortunately, the survey also found that too many organizations are treating the risk function as an add-on or incorporating risk leaders into strategic conversations too late. Only 39% of business leaders reported adding risk professionals to decision-making processes early, which should be an essential step for executives seeking to minimize risk from the outset. On a broader scale, executives seemed to lack confidence in risk managers, with only 47% of respondents saying they feel “very confident” in their risk function’s ability to build a more risk-aware culture, a key element of any successful risk-focused company.

Particularly as companies invest in emerging technologies, business leaders need to listen more to their risk and compliance functions and integrate them into conversations about how those technologies will be implemented. Artificial intelligence is a great example: when companies rush to implement systems to accelerate efficiency and analyze trends, they risk creating disproportionate bias and violating personal privacy through data sourcing. Risk professionals need to be at the table from beginning to end to make sure that an evolving regulatory environment and other pitfalls are fully accounted for in the organization’s implementation process.

While investment in risk management technology is helpful, it is insufficient without making structural changes to the organization to prioritize the risk function company-wide. Particularly as companies consider adopting emerging technologies, the following steps should be considered not just by risk management professionals, but across the C-suite:

  1. Identify, categorize, and prioritize technology risks across the company. This should be done on a regular basis by a dedicated risk management team, married with the best tools available, with findings routinely reported back to senior leaders. Companies are on the right track here: 65% plan to increase their technology spend this year across data analytics and process automation to support detection and monitoring of risks. This initial step will lay the framework for the establishment of cyber threat intelligence, systems monitoring, and incident response protocols.
  2. Adapt IT governance to the emerging technologies being adopted. Risk professionals should work with IT teams and company leadership to create governance structures that integrate seamlessly with corporate strategy, allowing for alignment of day-to-day operations, effective decision-making, a framework for best practices, and promotion of investments that enhance business objectives.
  3. Update leadership often on the emerging tech regulatory landscape. Whether across data privacy rules, cyber reporting requirements, or other complex technology challenges, a robust compliance program should keep leaders across the company updated as new technologies are implemented. Otherwise, companies risk run-ins with legal authorities and the erosion of trust from their clients and customers.
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  4. Set expectations with leadership that not all risks are one and the same. Understanding the context around each piece of technology will become imperative to understanding its specific risks and the appropriate response strategy, including the maturity and complexity of the business processes to determine true risk to the company. Inherent in this case-by-case evaluation is an understanding of the company’s risk appetite and criteria for acceptable level of risk.

When adopted purposefully, emerging technologies can make companies more efficient, more profitable, and better stewards for their employees, clients and communities. Risk is often unavoidable for early adopters of emerging technologies, but it can be mitigated if C-suites equip their risk functions with a holistic strategy and a voice in key business decisions. As C-suites and organizations seek to adapt to a changing world, their success will hinge on the extent to which risk management is incorporated into their strategies.

Assessing the Legal Risks in AI—And Opportunities for Risk Managers

Last year, Amazon made headlines for a developing a human resources hiring tool fueled by machine learning and artificial intelligence. Unfortunately, the tool came to light not as another groundbreaking innovation from the company, but for the notable gender bias the tool had learned from the data input and amplified in the candidates it highlighted for hiring.

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As Reuters reported, the models detected patterns from resumes of candidates from the previous decade and the resulting hiring decisions, but these decisions reflect that the tech industry is disproportionately male. The program, in turn, learned to favor male candidates.

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As AI technology draws increasing attention and its applications proliferate, businesses that create or use such technology face a wide range of complex risks, from clear-cut reputation risk to rapidly evolving regulatory risk. At last week’s RIMS NeXtGen Forum 2019, litigators Todd J. Burke and Scarlett Trazo of Gowling WLG pointed toward such ethical implications and complex evolving regulatory requirements as highlighting the key opportunities for risk management to get involved at every point in the AI field.

For example, Burke and Trazo noted that employees who will be interacting with AI will need to be trained to understand its application and outcomes. In cases where AI is being deployed improperly, failure to train the employees involved to ensure best practices are being followed in good faith could present legal exposure for the company. Risk managers with technical savvy and a long-view lens will be critical in spotting such liabilities for their employers, and potentially even helping to shape the responsible use of emerging technology.

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To help risk managers assess the risks of AI in application or help guide the process of developing and deploying AI in their enterprises, Burke and Trazo offered the following “Checklist for AI Risk”:

  • Understanding: You should understand what your organization is trying to achieve by implementing AI solutions.
  • Data Integrity and Ownership: Organizations should place an emphasis on the quality of data being used to train AI and determine the ownership of any improvements created by AI.
  • Monitoring Outcomes: You should monitor the outcomes of AI and implement control measures to avoid unintended outcomes.
  • Transparency: Algorithmic decision-making should shift from the “black box” to the “glass box.”
  • Bias and Discrimination: You should be proactive in ensuring the neutrality of outcomes to avoid bias and discrimination.
  • Ethical Review and Regulatory Compliance: You should ensure that your use of AI is in line with current and anticipated ethical and regulatory frameworks.
  • Safety and Security: You should ensure that AI is not only safe to use but also secure against cyberattacks. You should develop a contingency plan should AI malfunction or other mishaps occur.
  • Impact on the Workforce: You should determine how the implementation of AI will impact your workforce.

For more information about artificial intelligence, check out these articles from Risk Management: