7 questions boards should ask about AI and other transformative tech

7 questions boards should ask about AI and other transformative tech

Impact and risks of these new technologies should be top priority for today’s boards, says WomenCorporateDirectors

“The sheer scope of what directors need to be on top of is challenging,” says Susan C. Keating, CEO of WomenCorporateDirectors (WCD).

“Every corporate director, no matter what industry, is seeking to get a grasp on the latest advances and needs the right questions in hand when sitting down with CEOs and senior management.”

With risk oversight becoming increasingly complicated by advances in AI and other digital innovations, she says WCD is making the education of directors about the impact and risks of new technologies a top priority.

Keating recently moderated a  panel discussion on why boards need to understand the impact of new technologies like AI, machine learning and robotics.

The discussion yielded seven questions for directors to take back to their companies:

Are we training the right people?

Training in organisations is becoming increasingly more important as new technologies continue to supplement or replace current processes or enable whole new types of products and services to be offered. But training is often directed to the wrong people. For example, force-feeding IT people to be the “business people” could be a recipe for disaster; traditional IT folks aren’t as fluent in the business domain – they are trained on the software. Companies should instead do the reverse: train the business leader and the domain expert in IT.

What’s our corporate responsibility around retraining for new technologies?

There is a conversation beginning about the responsibilities companies have around employment and training. Robotics and AI are causing job displacement; these workers need training for their next job, but the programs available from the government are limited in availability and effectiveness. This leaves companies – that are going to need talent that is trained in the latest technology anyway – with the responsibility to retrain them. So when a company implements the use of robotics in a factory, for instance, what is the impact down the line on its workers, and what kind of skills is it setting itself up to require in the future? How can this be factored into the company’s social compact with employees?

Where can we deploy new technologies and retrained talent in our organisation?

With retraining, the introduction of new technologies does not mean unemployment but rather a two-generation training process. Robots can take over the repetitive work, improving the productivity in these tasks and thus allowing newly trained employees to do more knowledge-based work. This will create a large organisational shift, so companies will need to think creatively about how to capitalise on this strategically, and where the retrained talent can create competitive advantage.

What kinds of threats are we creating on the home front?

As we build smart cities and interconnected infrastructures, we are increasing risks in our own cities and homes. Solar energy panels and wind generators are just one area creating additional risk of cyberattacks that could shut down power grids and cut large portions of our power supply. Where is the threat coming from? What are the targets? Are the hackers looking to cause destruction or to steal data? As you evaluate the interconnected technology your company is exploring, it’s important to think of all the vectors for risk.

How will changing technology standards affect our ability to commercialise technology in different markets?

The panel noted how US firms have long enjoyed the benefits of being able to define the global standards for technology – setting domestic standards for things from USB ports to more complex tech which would then be exported globally. This conferred great competitive advantage for companies in the US.

But the power has shifted. China is investing billions as a nation, coordinating and creating the standards for all tech and AI by 2030. In local industries and at the enterprise level, they are setting the stage for what it means to work and be competitive, and also setting the standards within critical infrastructure, energy, utilities, and transportation. All of this affects how companies in the US will be able to take their products to market overseas.

How are we vulnerable to attack, and what are we doing about it?

As transformative technologies like AI continue to spread throughout the organisation – as well as both upstream to the supply chain and downstream to the consumer – this only expands a company’s attack surface. This is the trade-off, and boards have to ask where the data resides, what is being done with it, and how it is being secured from hackers who are capitalising on the higher number of potential entry points. Cyber insurance coverage is getting very expensive, and has limitations – which could range from regulatory fines and penalties to losses arising from “social engineering”, and the reputational hit from a publicized attack is practically immeasurable.

What are the opportunities and how do we monetise them?

AI and machine learning are a vast field, and most lay people have a limited understanding of robotics. And advances in these fields are changing the power and capacity and capabilities of these technologies every day, the panelists noted.

But even as directors learn more about these emerging tools, it’s understanding what these mean in your own firm, to your own suppliers, and throughout your own supply chain that is key. The senior team also has to be able to clearly communicate this value within the firm. It’s not just about being “new” – but how the company can capture value with this new tech.

Credit: Dreamstime

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