1 00:00:00,050 --> 00:00:00,710 Case study. 2 00:00:00,710 --> 00:00:06,020 Global AI Auditing framework ensuring ethical and accountable deployment at Technova. 3 00:00:06,050 --> 00:00:11,240 The necessity for a global artificial intelligence auditing framework propels us into understanding 4 00:00:11,240 --> 00:00:17,480 not just the technological, but also the ethical, legal and social dimensions of AI integration in 5 00:00:17,480 --> 00:00:18,530 today's world. 6 00:00:19,190 --> 00:00:24,200 Picture an international conglomerate, Technova, which operates in industries ranging from healthcare 7 00:00:24,200 --> 00:00:28,010 to finance, all powered by advanced AI systems. 8 00:00:28,520 --> 00:00:34,880 As Technova expands, the complexity of managing and auditing these AI systems grows, raising critical 9 00:00:34,880 --> 00:00:37,850 questions about their ethical and accountable deployment. 10 00:00:39,380 --> 00:00:44,870 In Technova headquarters, Maria, the Chief Ethics officer, and Raj, the head of AI development, 11 00:00:44,870 --> 00:00:50,450 confront an emerging issue a bias discovered in an AI system used for hiring. 12 00:00:50,960 --> 00:00:56,510 This system, intended to streamline recruitment across multiple countries, appears to be systematically 13 00:00:56,510 --> 00:00:59,360 favouring certain demographic groups over others. 14 00:00:59,810 --> 00:01:05,860 Maria and Raj are faced with the task of auditing the AI system to ensure compliance with ethical standards 15 00:01:05,860 --> 00:01:07,360 and legal requirements. 16 00:01:07,780 --> 00:01:13,690 Here, the conversation begins with the fundamental question how can technology ensure transparency 17 00:01:13,690 --> 00:01:18,370 in the functionality and decision making processes of its AI systems? 18 00:01:19,330 --> 00:01:25,870 Transparency entails the clear documentation and disclosure of how the AI operates, including the data 19 00:01:25,870 --> 00:01:28,270 sources and potential biases present. 20 00:01:28,810 --> 00:01:35,200 Maria suggests creating a detailed log of the AI's decision making process, which Raj supports by proposing 21 00:01:35,200 --> 00:01:40,750 the inclusion of explainable AI techniques that can outline how decisions are reached. 22 00:01:41,140 --> 00:01:45,700 This approach provides stakeholders a window into the algorithm's inner workings. 23 00:01:45,730 --> 00:01:48,820 However, achieving full transparency is challenging. 24 00:01:48,820 --> 00:01:54,580 What specific protocols can Technova adopt to ensure comprehensive documentation of their AI systems 25 00:01:54,580 --> 00:01:57,130 without compromising sensitive information? 26 00:01:58,750 --> 00:02:03,670 Raj mentions leveraging standards developed by organizations like the International Organization for 27 00:02:03,670 --> 00:02:10,120 standardization and the Institute of Electrical and Electronics Engineers to guide their auditing procedures. 28 00:02:10,660 --> 00:02:16,330 These standards offer a structured foundation for evaluating AI systems, focusing on performance, 29 00:02:16,360 --> 00:02:18,460 safety, and risk management. 30 00:02:18,850 --> 00:02:25,780 For instance, ISO, IEC, JTC one, SC 42 guidelines could be instrumental in shaping Tennovas auditing 31 00:02:25,780 --> 00:02:26,680 protocols. 32 00:02:26,950 --> 00:02:33,190 But how can Technova ensure these standards are effectively integrated into their existing processes 33 00:02:33,190 --> 00:02:35,290 across various jurisdictions? 34 00:02:36,730 --> 00:02:42,640 Maria emphasizes the importance of establishing an independent auditing body to ensure an unbiased assessment 35 00:02:42,640 --> 00:02:44,050 of the AI systems. 36 00:02:44,560 --> 00:02:50,710 This body, comprising experts in AI ethics, law, data science, and cybersecurity, would conduct 37 00:02:50,710 --> 00:02:56,470 rigorous evaluations and have unfettered access to the AI's code, training data, and decision making 38 00:02:56,470 --> 00:02:57,430 algorithms. 39 00:02:58,030 --> 00:03:02,890 Raj suggests that this body should also be empowered to recommend corrective actions. 40 00:03:02,920 --> 00:03:08,440 How can Technova balance the independence of this auditing body with its need for internal oversight 41 00:03:08,460 --> 00:03:09,450 and control. 42 00:03:11,040 --> 00:03:16,590 A significant hurdle is the variation in regulatory landscapes across different countries where Technova 43 00:03:16,620 --> 00:03:17,460 operates. 44 00:03:17,850 --> 00:03:23,730 While stringent data protection laws in Europe necessitate rigorous compliance checks, other regions 45 00:03:23,730 --> 00:03:25,740 have more lenient regulations. 46 00:03:26,100 --> 00:03:32,400 Maria outlines the need for international cooperation to harmonize regulations, ensuring a unified 47 00:03:32,400 --> 00:03:35,340 framework that Technova can adopt globally. 48 00:03:35,370 --> 00:03:41,220 What strategies can Technova employ to foster international collaboration and ensure consistent ethical 49 00:03:41,220 --> 00:03:43,500 standards across its operations? 50 00:03:44,940 --> 00:03:48,810 Pre-deployment and post-deployment audits are central to this framework. 51 00:03:49,170 --> 00:03:54,180 Pre-deployment audits would scrutinize the EHS design and development phases, identifying potential 52 00:03:54,180 --> 00:03:55,710 risks and biases. 53 00:03:55,710 --> 00:04:02,430 Raj advocates for a robust testing phase where the AI is evaluated under varying conditions to ensure 54 00:04:02,460 --> 00:04:04,170 fairness and compliance. 55 00:04:04,500 --> 00:04:10,710 Post-deployment audits, Maria adds, would monitor the AI's performance over time, identifying any 56 00:04:10,740 --> 00:04:11,880 emerging issues? 57 00:04:11,880 --> 00:04:17,700 What mechanisms can Technova implement to ensure these audits are thorough and continuous, addressing 58 00:04:17,700 --> 00:04:20,130 both immediate and long term risks. 59 00:04:21,330 --> 00:04:25,200 The socio ethical implications of AI are another critical aspect. 60 00:04:25,770 --> 00:04:31,260 The hiring bias issue at Technova highlights the need for auditors to consider the broader societal 61 00:04:31,260 --> 00:04:33,120 impact of AI decisions. 62 00:04:33,750 --> 00:04:39,240 The auditing body should assess whether the AI respects human rights and promotes social equity. 63 00:04:39,720 --> 00:04:46,200 Raj proposes a series of impact assessments that explore the AI's effects on employment and social dynamics. 64 00:04:46,200 --> 00:04:52,230 How can Technova ensure these socio ethical evaluations are integrated into the auditing process without 65 00:04:52,230 --> 00:04:54,270 hindering technological innovation? 66 00:04:56,220 --> 00:05:02,550 Stakeholder engagement and public participation play a pivotal role in enhancing transparency and trust 67 00:05:03,330 --> 00:05:08,640 by involving affected communities and industry representatives, Technova can gain valuable insights 68 00:05:08,640 --> 00:05:11,580 into the real world impact of its AI systems. 69 00:05:11,970 --> 00:05:18,230 Maria suggests organizing regular public consultations and focus groups to gather diverse perspectives. 70 00:05:18,620 --> 00:05:24,050 How can Technova implement a stakeholder engagement strategy that is both inclusive and effective in 71 00:05:24,050 --> 00:05:26,090 driving ethical AI use? 72 00:05:27,320 --> 00:05:33,200 Investing in education and capacity building initiatives is essential for sustaining a robust auditing 73 00:05:33,200 --> 00:05:33,980 framework. 74 00:05:34,520 --> 00:05:40,820 Technova can develop training programs for auditors, developers, and regulators, focusing on AI ethics 75 00:05:40,820 --> 00:05:42,590 and regulatory compliance. 76 00:05:43,040 --> 00:05:48,830 Raj mentions the AI Governance Professional certification as a potential avenue for structured learning. 77 00:05:48,830 --> 00:05:54,050 How can Technova ensure continuous professional development and keep its workforce updated with the 78 00:05:54,050 --> 00:05:57,050 latest advancements in AI ethics and governance? 79 00:05:59,150 --> 00:06:03,980 To support these initiatives, advanced auditing tools and technologies are necessary. 80 00:06:04,670 --> 00:06:10,730 Automated tools can facilitate large scale evaluations, identifying patterns of bias and assessing 81 00:06:10,760 --> 00:06:12,200 algorithmic fairness. 82 00:06:12,770 --> 00:06:17,750 Raj highlights the potential of blockchain technology in And enhancing the traceability of the auditing 83 00:06:17,750 --> 00:06:18,650 process. 84 00:06:19,250 --> 00:06:24,830 How can Technova integrate these advanced tools into their auditing framework to improve efficiency 85 00:06:24,830 --> 00:06:26,060 and reliability? 86 00:06:27,290 --> 00:06:33,560 In conclusion, as Maria and Raj navigate the complexities of building a global AI auditing framework 87 00:06:33,560 --> 00:06:39,530 at Technova, they emphasize the importance of transparency, fairness, and accountability. 88 00:06:40,550 --> 00:06:46,280 By adopting international standards, establishing independent auditing bodies, fostering international 89 00:06:46,280 --> 00:06:52,220 collaboration and engaging stakeholders, Technova can develop a comprehensive framework that addresses 90 00:06:52,220 --> 00:06:55,430 the ethical and accountability challenges posed by AI. 91 00:06:55,460 --> 00:07:01,010 Investing in education and advanced auditing tools further supports the effective implementation of 92 00:07:01,010 --> 00:07:07,340 this framework, ensuring that Tennovas AI systems operate ethically and responsibly across different 93 00:07:07,340 --> 00:07:08,810 sectors and regions. 94 00:07:09,110 --> 00:07:15,260 This case exemplifies the intricate balance required to foster public trust in AI technologies, while 95 00:07:15,260 --> 00:07:18,050 promoting their responsible and beneficial use.