AiThority 2024年09月23日
Ethical Risks of Generative AI Still a Major Concern Amid Rising Adoption: Deloitte Report
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

Deloitte的第三份年度报告《技术伦理与信任状况》显示,尽管生成式AI(GenAI)的广泛使用提高了人们对其潜在益处的认识,但人们仍然非常关注其滥用对企业和个人造成的风险。在2024年报告中,超过1800名专业人士中,46%的人认为,认知技术在负责任地使用时,具有创造最大社会效益的潜力,高于2023年的39%。然而,与去年的报告一样,超过一半(2023年为57%,2024年为54%)的受访者也表示,与其他新兴技术相比,AI和GenAI等认知技术带来了最严重的伦理风险,这凸显了制定伦理准则来规范其使用的持续必要性。

🤔 安全第一:在今年的调查中,78%的受访者选择“安全可靠”作为三大伦理技术原则之一,比去年调查的受访者增加了37%。在对AI的担忧方面,受访者强调数据隐私是最重要的,40%的受访者将数据隐私列为他们的首要担忧。

🏢 企业在建立员工信任方面面临挑战:人们对自己所在组织及其新兴技术的信任可能正在下降,在年轻一代中更为明显。2023年,87%的千禧一代和81%的Z世代受访者表示认同他们所在组织的道德信息;2024年,这些数字分别降至77%和65%。总体认同度从89%降至81%,表明所有年龄段的员工都与他们的组织保持一致,但如果得不到解决,可能会下降。

🎯 声誉至关重要:当被问及如果未遵守新兴技术的道德标准,组织可能面临哪些潜在的负面后果时,受访者将其前三大担忧列为声誉受损(82%)、经济损失(66%)和监管处罚(60%)。

📚 培训和工具领先于其他伦理方法:对技术伦理培训的投资正在增加,80%的受访者需要完成强制性的技术伦理培训,比2022年增加了7个百分点。此外,三分之二(67%)的受访者表示,他们的组织提供内部工具来帮助员工熟悉AI。然而,在制定道德技术标准方面,多元化焦点小组的使用似乎较少,36%的受访者表示,他们的组织在标准制定中使用了多元化焦点小组,与去年的回应率相同。

🚀 积极展望:GenAI的广泛可用性和采用可能提高了受访者对该技术的熟悉度和信心,从而推动了人们对其潜在益处的乐观情绪。围绕其明显风险的持续谨慎情绪强调了制定具体、改进的伦理框架的必要性,以实现积极影响。指定伦理领导者、多元化工作组、培训和内部AI工具是应该同时应用的方法,以帮助加快伦理指导工作的步伐和成功率。

Over half (54%) of professionals surveyed believe technologies like Generative AI pose the highest ethical risk compared to other emerging technologies

While widespread use of Generative AI (GenAI) has broadened awareness of its potential benefits, concerns about the risks its misuse poses to businesses and individuals remain top of mind, according to Deloitte‘s third annual report on the “State of Ethics and Trust in Technology.” Among the over 1,800 professionals surveyed for 2024’s report, 46% of individuals believe cognitive technologies have the potential to create the most social good when used responsibly, up from 39% in 2023. However, like last year’s report, over half (57% in 2023 and 54% in 2024) of respondents also said that cognitive technologies like AI and GenAI present the most severe ethical risks compared to other emerging technologies, underscoring the sustained need for ethical guidelines to govern its use.

Also Read: AiThority Interview with Adolfo Hernández, Technology Managing Director for Telefónica at IBM

When it comes to the development of ethical guidelines for emerging technologies, just over one-quarter (27%) of respondents report their organizations have distinct ethical standards for GenAI. Report findings suggest organizations where ethical guidelines are absent or underutilized may continue to be exposed to risks and miss opportunities to enhance stakeholder trust and build social, reputational and financial value.

The study, led by Deloitte’s Technology Trust Ethics practice, surveyed over 1,800 business and technical professionals globally to understand how organizations value and implement ethical principles for emerging technologies. The practice interviewed 26 specialists and leaders across industries and within Deloitte to gather insights in support of the survey’s findings.

“The accelerated adoption of GenAI and other emerging technologies demands a collaborative approach among organizations, leaders, and professionals with diverse experiences and perspectives to define and implement appropriate ethical standards,” said Lara Abrash, chair, Deloitte US. “Future generations will look back on the decisions made today. It is important to honor the collective responsibility for those who will inherit the world shaped during this time.”

Key findings

Safety first: In this year’s survey, 78% of respondents selected “safe and secure” as one of the top three ethical technology principles, a 37% increase from respondents in the previous year’s survey. When it comes to concerns around AI, respondents highlighted data privacy as the most significant, with 40% of respondents ranking data privacy as their top concern.

Organizations face challenges building trust among employees: Trust in one’s organization and its emerging technologies may be declining and more pronounced in younger generations. In 2023, 87% of millennial and 81% of Gen Z respondents reported buy-in to their organization’s ethical messaging; in 2024 those figures decreased to 77% and 65% respectively. Overall buy-in fell from 89% to 81%, indicating employees of all ages are aligned with their organizations but may decline if left unaddressed.

Reputation is top of mind: When asked to rank the potential negative outcomes to organizations if ethical standards are not followed for emerging technologies, respondents rated reputational damage (82%), financial damage (66%), and regulatory penalties (60%) as their top three concerns.

Trainings and tools outpace other ethics approaches: Investment in technology ethics training is on the rise, with 80% of respondents required to complete mandatory technology ethics training, an increase of seven percentage points since 2022. Furthermore, two-thirds (67%) of respondents reported their organization provides internal tools to familiarize employees with AI. However, diverse focus groups appear to be less utilized in enacting ethical technology standards with 36% of respondents indicating their organizations used diverse focus groups in the development of standards, the same response rate as last year.

Also Read: 5 Top Reasons to Believe in Intel’s Core Ultra Processor Range: The Future of AI-Powered Laptops

“Widespread availability and adoption of GenAI may have raised respondents’ familiarity and confidence in the technology, driving up optimism about its potential for good,” said Beena Ammanath, executive director, Global Deloitte AI Institute and Trustworthy AI leader, Deloitte LLP. “The continued cautionary sentiments around its apparent risks underscores the need for specific, evolved ethical frameworks that enable positive impact. Designated ethics leaders, diverse working groups, trainings and internal AI tools are methods that should be applied concurrently to help increase the pace and success of ethical guidance efforts.”

Deloitte’s Technology Trust Ethics practice is part of the US Purpose & DEI Office and focuses on embedding ethical decision-making into the development and use of emerging technology, to build trust in those technologies and expand the equitable opportunities of a tech-savvy world to all people.

The practice developed a Technology Trust Ethics framework to help organizations assess the ethical implications of emerging technologies and guide responsible decision-making in the design, operation and governance of those technologies.

Methodology
Deloitte’s research included interviews in April and May 2024 with 26 executives and surveyed more than 1,800 business and technical professionals involved in developing, consuming or managing emerging technologies. Respondents represented industry sectors including technology, media and telecommunications; financial services; life sciences and health care; consumer; energy, resources and industrials; academia; government and public service; and nonprofit. The survey spanned the impact of Generative AI on organizations, the understanding of and value placed on ethical principles for emerging technologies, and mechanisms to implement ethical behavior throughout their organizations.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Ethical Risks of Generative AI Still a Major Concern Amid Rising Adoption: Deloitte Report appeared first on AiThority.

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

生成式AI 伦理风险 道德准则 数据隐私 认知技术
相关文章