Artificial intelligence sure has been taking a lot of flak lately.
Only 8.5% of the 48,000 people recently surveyed by accounting firm KPMG said that they “always” trust AI search results. Another report from Gartner found that more than half of consumers don’t trust AI searches, with most reporting “significant” mistakes.
A McKinsey study found that 80% of companies using generative AI have seen “no significant bottom-line impact”, with 42% of them literally abandoning their AI projects. An MIT study found that 95% of the AI pilot projects at the big companies they surveyed “failed”.
And now there’s workslop!
A new study published in the Harvard Business Review says that more than 40% of US-based full-time employees reported receiving AI-generated content that “masquerades as good work but lacks the substance to meaningfully advance a given task”. This “workslop” is “destroying productivity”, according to the study’s researchers.
Who is really to blame for workslop? Sure, blame big tech companies for yet again releasing untested and unproven products before they’re ready for prime time. Or the media and tech community who, for the past three years, have been writing pieces like Yahoo Japan wants all its 11,000 employees to use Gen AI to double their productivity by 2028 or AI will replace doctors, teachers, and make humans “unnecessary for most things”. All of this creates a lot of unnecessary hype and unfounded expectations.
But in the workplace, the buck always stops with the boss. The responsibility for AI’s “workslop” lies fully at the feet of the employer.
For more than 20 years, my company has implemented customer relationship and financial management applications at hundreds of small and mid-sized businesses across the country. We’ve worked with thousands of employees. We’ve had good projects and straight-out failures. As a technology consultant, we’ve made our share of mistakes. But the most common root cause of technology disappointments, failures and letdowns can always be found with the people who are buying and implementing the product.
So before throwing shade at software companies rolling out AI, I think it’s fair to ask employers a few questions.
For example, did you invest in training for your employees? Do your employees truly understand how to create the right prompts in order to get the best answers? Has your company standardized on an AI assistant or is it just a free-for-all mess of apps?
Do you have an AI policy that formalizes what AI can and cannot be used for and who can and cannot use it? Do you have a designated person in your company who is responsible for your AI-based applications? Has this person been trained and provided technical support to do this job? Are you working with a competent partner, consultant or developer to provide these kinds of services?
Most importantly, do you actually have a plan for using this technology effectively or are you just leaving it up…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
