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Even as AI has the potential to solve complex problems effectively at scale, badly designed applications can cause more harm than good, PwC India said in its report based on a comprehensive study conducted with over 1,000 CXOs and business decision makers from India and other regions, between May and September 2019.
The intent of the study was to understand the outlook towards AI in India. Findings of the report strongly indicate the need to invest in building AI systems that are responsible, understandable and ethical, ensuring customer trust.
AI can be defined as a collection of technologies which are capable of sensing, thinking and acting like rational human beings.
The respondents spanned across industries such as technology, media and telecom, financial services, professional services, health, industrial products, consumer markets, government, and utilities, said PwC India.
\"An overwhelming majority of decision makers globally as well as from India confessed that they may not have robust tools or processes for ensuring reliability of their AI solutions.
\"Interestingly, only 10 per cent of Indian respondents were confident about the reliability of their AI applications<\/a>,\" it said.
Deepankar Sanwalka, Leader- Advisory at PwC India, said that it is encouraging to see Indian organisations adopt or willing to adopt AI significantly in the coming few years.
However, to scale AI initiatives, organisations will have to ensure these solutions are ethically sound, compliant with all regulations, with a robust governance framework, he said.
The report further said \"it is heartening\" to note that India (62 per cent) is not very far behind global (65 per cent) in terms of implementation of AI.
However, the worrying part is that Indian respondents (53 per cent) significantly outnumber their global counterparts (36 per cent) in admitting that they have no formal approach to identify AI risks, it said.
Sudipta Ghosh, Leader- Data and Analytics<\/a>, PwC India added that merely adopting AI will not yield desired results.
AI must be supported by strong performance pillars addressing bias and fairness, interpretability and explainability, robustness and security, he said.
\"Else, the enthusiasm to implement AI projects is very likely to run into headwinds. Benefits of AI may be realised when an appropriate governance framework and dimensions are in place, and humans and machines can collaborate effectively,\" Ghosh said.
The study, PwC India said reiterates the need for a comprehensive Responsible AI (RAI) framework and toolkit for its widespread adoption.
It also highlights how AI's potential can be unlocked as well as maximised if a structured approach is taken towards addressing the associated risks.
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尽管AI有可能有效地解决复杂的问题规模,设计很糟的应用程序可能会弊大于利,普华永道印度在其报告中表示基于综合研究超过1000 CXOs和商业决策者来自印度和其他地区,2019年5月和9月之间。
这项研究的目的是了解在印度对人工智能的前景。报告的结果强烈表明需要投资建设的AI系统负责,可以理解和伦理,确保消费者的信任。
AI可以被定义为一组技术能够传感、思考和像理性的人类。
受访者跨越等行业科技、媒体和电信、金融服务、专业服务、卫生、工业产品、消费市场、政府和公用事业,普华永道印度说。
“全球绝大多数决策者以及来自印度承认他们可能没有健壮的工具或过程,以确保他们的人工智能解决方案的可靠性。
“有趣的是,只有10%的印度受访者对他们的可靠性人工智能应用,”它说。
Deepankar Sanwalka,领袖——普华永道咨询印度说,令人鼓舞的是看到印度组织采用或愿意采用AI明显在未来几年。
然而,人工智能项目规模,组织必须确保这些解决方案在伦理上的声音,符合所有规定,有一个健壮的治理框架,他说。
报告进一步表示,“这是令人振奋的”注意到印度(62%)是全球背后不远(65%)的人工智能的实现。
然而,令人担忧的是,印度受访者(53%)显著超过全球同行(36%)承认他们没有正式的方法来识别AI风险,它说。
领袖Sudipta Ghosh -数据和分析普华永道印度表示,仅仅采用AI不会产生预期的结果。
AI必须由强劲表现支柱支持解决偏见和公平、可解释性和explainability,鲁棒性和安全性,他说。
“别的,热情来实现人工智能项目很可能遇到阻力。人工智能的好处可能会意识到一个适当的治理框架和维度,和人类和机器可以有效地合作,”Ghosh说。
研究中,普华永道印度重申说需要一个全面的负责任的AI (RAI)框架和工具包的广泛采用。
它同时也突显出如何解锁以及人工智能的潜力最大化如果结构化方法对解决相关的风险。
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