What’s the number one thing you want peers to have top of mind when making decisions around the future of generative AI and similar technologies?

LeadershipInnovation & Emerging Trends
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Director of Data and AI in Banking2 years ago

Whether the usage is internal or customer facing. 

Data Science & AI Expert in Miscellaneous2 years ago

Any new technology should be accompanied with the right education (instructions) as a parts of provider responsibilities

VP, Data and Opex2 years ago

Clear accountability of outcomes. No matter the technology and it’s strengths or weakness, a buyer/user wants a
solution to their problems that they can trust. Hence designing the solution to deliver reliable outcomes is key.

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CMO in Services (non-Government)2 years ago

Responsible use of these technologies with improvement in the competitive moat for the company, benefiting all the stakeholders (not just investors).

Director of Data2 years ago

How to deal with 'commercial sensitivity' of data, confirming accuracy of results (e.g. hallucinations) and people not deciding to abdicate responsibility and their own thinking. 

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The use of Generative AI in the textile and industrial sectors — for instance in fashion companies or in the creation of marketing content — carries significant risks if not supported by adequate detection and risk management tools. Generative models may unintentionally incorporate elements protected by intellectual property rights, such as registered styles, patented designs, or content belonging to other fashion houses.

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In this context, how should Risk Managers equip themselves to prevent and mitigate such risks, ensuring innovation while avoiding legal violations and reputational damage?

The impact of AI on daily life is becoming increasingly significant. 

Falsified, altered, and/or manipulated content is on the rise. 

Do you think AI detection tools will become as common as antivirus software, with everyone having one installed on their device to protect against misinformation?

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