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Data Center News > Blog > AI > 73% of orgs embracing gen AI, but far fewer are assessing risks
AI

73% of orgs embracing gen AI, but far fewer are assessing risks

Last updated: August 17, 2024 5:38 pm
Published August 17, 2024
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73% of orgs embracing gen AI, but far fewer are assessing risks
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A brand new survey from PwC of 1,001 U.S.-based executives in enterprise and expertise roles finds that 73% of the respondents at the moment or plan to make use of generative AI of their organizations.

Nevertheless, solely 58% of respondents have began assessing AI dangers. For PwC, accountable AI pertains to worth, security and belief and needs to be a part of an organization’s threat administration processes.

Jenn Kosar, U.S. AI assurance chief at PwC, advised VentureBeat that six months in the past, it might be acceptable that firms started deploying some AI tasks with out pondering of accountable AI methods, however not anymore. 

“We’re additional alongside now within the cycle so the time to construct on accountable AI is now,” Kosar stated. “Earlier tasks have been inside and restricted to small groups, however we’re now seeing large-scale adoption of generative AI.”

She added gen AI pilot tasks truly inform a whole lot of accountable AI technique as a result of enterprises will be capable of decide what works finest with their groups and the way they use AI techniques. 

Accountable AI and threat evaluation have come to the forefront of the information cycle in latest days after Elon Musk’s xAI deployed a brand new picture technology service by its Grok-2 mannequin on the social platform X (previously Twitter). Early customers report that the mannequin seems to be largely unrestricted, permitting customers to create all types of controversial and inflammatory content material, together with deepfakes of politicians and pop stars committing acts of violence or in overtly sexual conditions.

See also  Stable Diffusion 3.5 hits Amazon Bedrock: What it means for enterprise AI workflows

Priorities to construct on

Survey respondents have been requested about 11 capabilities that PwC recognized as “a subset of capabilities organizations seem like mostly prioritizing right now.” These embrace:

  1. Upskilling
  2. Getting embedded AI threat specialists
  3. Periodic coaching
  4. Knowledge privateness
  5. Knowledge governance
  6. Cybersecurity
  7. Mannequin testing
  8. Mannequin administration
  9. Third-party threat administration
  10. Specialised software program for AI threat administration
  11. Monitoring and auditing

In line with the PwC survey, greater than 80% reported progress on these capabilities. Nevertheless, 11% claimed they’ve carried out all 11, although PwC stated, “We suspect many of those are overestimating progress.”

It added that a few of these markers for accountable AI may be tough to handle, which might be a cause why organizations are discovering it tough to completely implement them. PwC pointed to knowledge governance which must outline AI fashions’ entry to inside knowledge and put guard rails round. “Legacy” cybersecurity strategies might be inadequate to guard the mannequin itself towards assaults equivalent to mannequin poisoning. 

Accountability and accountable AI go collectively

To information firms present process the AI transformation, PwC recommended methods to construct a complete accountable AI technique. 

One is to create possession, which Kosar stated was one of many challenges these surveyed had. She stated it’s necessary to make sure accountability and possession for accountable AI use and deployment be traced to a single govt. This implies pondering of AI security as one thing past expertise and having both a chief AI officer or a accountable AI chief who works with totally different stakeholders throughout the firm to know enterprise processes. 

See also  Gen AI surge threatens global emissions targets, SAS report warns

“Perhaps AI would be the catalyst to carry expertise and operational threat collectively,” Kosar stated. 

PwC additionally suggests pondering by all the lifecycle of AI techniques, going past the theoretical and implementing security and belief insurance policies throughout all the group, making ready for any future laws by doubling down on accountable AI practices and growing a plan to be clear to stakeholders. 

Kosar stated what shocked her essentially the most with the survey have been feedback from respondents who believed accountable AI is a industrial worth add for his or her firms, which she believes will push extra enterprises to suppose deeper about it. 

“Accountable AI as an idea isn’t just about threat, but it surely must also be worth artistic. Organizations stated that they’re seeing accountable AI as a aggressive benefit, that they’ll floor companies on belief,” she stated. 


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