Collaborating Authors

AI governance: Reducing risk while reaping rewards


As a result, addressing governance of the use of artificial intelligence technologies requires action on many levels. "It does not start at the IT level or the project level," says Kamlesh Mhashilkar, head of the data and analytics practice at Tata Consultancy Services. AI governance also happens at the government level, at the board of directors level, and at the CSO level, he says. Get the latest insights with our CIO Daily newsletter. In healthcare, for example, AI models must pass stringent audits and inspections, he says.

How do CIOs implement effective AI governance


AI governance is needed to properly monitor and evaluate algorithms for ROI, bias, risk, effectiveness, etc. Unfortunately, due importance is not given to this process. CIOs acknowledge that enterprises often do not take proper measures when drafting AI governance strategies. These governance measures are especially required for monitoring bias, risk, and ROI, among other factors in the enterprise. Enterprise leaders feel that the main reason for this disconnect is the near non-existence of coordination relevant to AI projects in an organization.

SoftBank to tighten governance standards for firms it invests in: report

The Japan Times

NEW YORK – Following related issues at WeWork, SoftBank Group Corp. will introduce new standards to tighten corporate governance at companies in which it invests, the Financial Times reported Monday. SoftBank is expected to outline the new standards Wednesday, the British newspaper said, citing people briefed on the plan. The tougher governance standards will apply to future investments made by SoftBank. Meanwhile, its Saudi Arabia-backed Vision Fund is in discussions about how it can adopt some or all of these measures, according to the paper. For private companies, SoftBank will look to have at least one board seat, require at least one independent director and prohibit directors from owning "supervoting" shares, the report said.

CIOs must take charge in implementing artificial intelligence governance


The role of many chief information officers is changing, as organization strategies move from data governance initiatives to artificial intelligence governance. That is placing new pressure on CIOs to take a more advisory role in what is for many is still cutting-edge technology. But this is welcome news and brings new opportunities for those that are successful. That was the message of Jean-François Gagné, chief executive officer at Element AI, at the Strata Data Conference in New York this week. Gagné spoke on the topic "From data governance to AI governance: The CIO's new role."

Taming the machine: AI Governance


In the race to stay competitive, artificial intelligence (AI) – particularly machine learning (ML) – has massively expanded. Businesses and organisations can see their competitive advantage means analysing the vast datasets they have collected to reveal value. However, the speed at which AI is evolving has led to questions over whether these systems are being set up correctly and whether the actionable outputs from the AI are accurate. What's more, as AI tools can often be described as'black box' technologies, can governance ever be adequately applied? It's critical as the first step with AI governance to define what we mean by this term.