BIOGRAPHY OF THE AUTHOR
Achille De Tommaso graduated in Electronic Physics in Milan, with a thesis at the Higher School of Nuclear Engineering of the Politecnico; he is also a scholar of Anthropology and Behavioral Analysis. He has books and scientific publications to his credit.
Expert in documentary scientific research, he was vice-president and president of ANFOV, a study center for advanced telecommunications, for 30 years; in which the social implications of new technologies were also studied.
In the 90s, he was a consultant to the European Commission, DG XIII, and to the Soviet Academy of Sciences for the introduction of Electronic data Interchange services in Europe.
As CEO he has managed eight telecommunications companies after creating them.
In addition to his qualifications and studies, De Tommaso is also a lover of Music, History and Philosophy.
DIGITAL ANTHROPOLOGY
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We are more connected than ever online, but are these connections real human connections? Is technical progress human progress? How do technological devices affect our relationships? And, in the case of companies: is a hyper-connection enough to provide better efficiency and profit? People are getting used to considering the virtual world as a great centralizer of their attention, emotions and thoughts; and the temptation will be to give their loyalty to what not only weakens their relationship with nature, but, with a possible corrosive effect, to their inner life. What is the difference between 'human' and 'digital', 'real' and 'virtual'? Social media can also unite. When you share a loss, or a failure, you can experience great solidarity.
When you feel insecure, you happen to turn to Facebook or Instagram for relief, and the results seem to be better than any other self-affirmation activity. Furthermore, the time spent on social media has to do with virtual new culture. Digital technology is therefore a new culture with people at the center; because Digital Humanism, for instance, is the result of a hitherto untested convergence between our complex cultural heritage and a technology that has produced an unprecedented social sphere.
This convergence, instead of simply forming a link between antiquity and today, has redistributed concepts, categories and objects, as well as associated behaviors and practices, all in a new environment.
In trying to understand how digital technologies affect individuals and companies, we must first understand the difference between the different categories, but beware: the answers cannot be given only by technologists: the questions involve our whole being and living; such as information, art, culture, philosophy, religion, entertainment, economics, finance. And so on. It is important that anyone is aware of it. This book helps to understand these questions; and proposes some answers.
INDEX
PREFACE: TECHNOLOGY AND HUMAN CONNECTION p.11
INTRODUCTION: WHAT IS DIGITAL ANTHROPOLOGY? p.16
CHAPTER I
THE DIGITAL WORLD AND THE HYPER-CONNECTIVITY OF COMPANIES P.21
1. The logistical problem of knowledge. Telcos as an important link in the connectivity chain. p.22
2. Industry 4.0 - it will be an anthropological revolution: let's see what it promises us p.33
3. "Industry 4.0": a look beyond the hedge. p.38
4. Careful not to let us destroy companies with industry 4.0 p.46
5. The internet of things (IOT) p.51
6. Digital anthropology and digital inclusion p.62
7. The robots used in companies are "electronic people" and steal our pensions p.68
8. Digital waste: this is what our posterity will find of us when they dig, looking for our remains; in thousands of years p.74
9. The digital slaves of the gig economy p.81
10. The digital exiles p.89
11. The digital world and the moral principles, declared but not observed p.97
CHAPTER II
THE DIGITAL HYPER-CONNECTIVITY OF INDIVIDUALS p.108
1. The reason for the success of “social media” p.109
2. But the digital person is more and more subject to a world that is “absent" p.121
3. Social media: alone together p.134
4. With the internet they have stolen our time p.142
5. How to survive the haters. p.152
6. Are we immortal because we are digital? p.157
7. How digital technologies affect migration. p.162
CHAPTER III
THE CLASHES BETWEEN DIGITAL TECHNOLOGY AND: CULTURE, ART, PHILOSOPHY, AND RELIGION p.174
1. Rethinking the relationship between culture and technology p.175
2. Digital humanism p.183
3. Can a robot return your love? p.196
4. Digital anthropology: the future of music p.204
5. What is music? A miracle! p.216
6. Has the digital, technological, man perhaps lost contact with poetry? Maybe not: perhaps we can dream that science and poetry, together, can be the keys to the "Theory Of Everything" p.222
7. Human nature and anthropo-digital philosophy: we are only mind. Body, sex, ethnicity, are just “background noises” p.242
8. Death is a digital “order” p.255
9. The anthropic principle and immortality p.263
10. Digital anthropology and religion p.269
11. Is teleportation a technical or an ethical-religious problem? p.283
CHAPTER IV
RECENT NEW TECHNICAL - SCIENTIFIC
HORIZONS REVEALED BY DIGITAL TECHNOLOGY p.290
1 black hole has become a fun curiosity for today's human being, who feeds more and more on technology. I provide a guide on how to photograph it p.291
2 gravitational waves. p.300
3 gravitational waves and the music of the spheres. p.309
4 the paradox of order which is against evolution p.316
5 can we change past and present with technology? p.322
6 the dark matter of the universe: one of the greatest mysteries of physics p.334
7 the battle between two theories of the universe p.342
8 is quantum mechanics a crazy lie? p.353
9 everything will end, with a nice whimper p.264
DIETS and ARTIFICIAL INTELLIGENCE
Present And Future of Healthful Eating
Hard Cover - 530 pages – 25 August 2023
DESCRIPTION OF THE CONTENT
The convergence of diet, genetics, and AI represents an evolving sphere, with our understanding perpetually in flux. Before embarking on the intellectual voyage of this book, it's therefore imperative to apprehend how intricate is its content. These pages unfurl as a tapestry, inviting you to immerse yourself in the profound interplay between dietary paradigms, genetic architecture, artificial intelligence, and an array of factors that intricately weave our comprehension of nutritional dynamics.
Among these pages, you'll navigate the landscapes of scientific rigor, pioneering technologies, and intricate relationships that could potentially revolutionize established nutritional dogmas. The discourse herein, though comprehensive, provides but a snapshot, capturing a fleeting glance into a realm perpetually metamorphosing.
Beyond the cardinal trinity of diet, genetics, and AI, our trajectory traverses the sociocultural matrices influencing dietary inclinations, delve into the psychological underpinnings of AI-mediated decisions, and explore the ethical mazes that arise when technology intrudes upon matters deeply personal.
To adeptly navigate the labyrinthine depths of this discourse, we've diligently assembled an exhaustive index. This index stands as an unwavering guide, adeptly steering you through a spectrum of subjects, intricate concepts, and profound discussions.
Approach this intellectual odyssey with an inquisitive spirit. Prepare to scrutinize preconceived notions, question orthodoxies, and unearth the treasures awaiting discovery. This comprehensive volume extends its embrace to readers of varied persuasions, serving as a repository of knowledge both for the curious novice and the seasoned and professional dietitian. The narrative expansively scrutinizes renowned dietary frameworks such as VEGAN, Ketogenic, and Mediterranean, dissecting them to reveal how AI augments their application. Additionally, instances of AI-driven dietary platforms are paraded as exemplars, offering readers tangible portals through which to bridge cutting-edge technology with their pursuit of optimized well-being.
Yet, the canvas of exploration is far from limited to diets alone. Chapter by chapter, we delve into the heart of AI's mechanisms, its intricacies of data collection and analysis, its synergy with genetics, and the profound personalization it accords. We lay bare how AI harmonizes with individual preferences, tailoring nutritional recommendations and addressing myriad health conditions.
" DIETS and ARTIFICIAL INTELLIGENCE" doesn't merely furnish knowledge; it bequeaths a deeper cognizance, a compass guiding you through the uncharted waters of AI-mediated nutritional evolution. It encourages a paradigm shift in your relationship with food, health, and technology, unraveling a realm of possibilities that transcends contemporary conventions. The AI-enchanted path to optimal health unfolds before you, and within these pages, you'll find the threads that weave this transformational journey.
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CONTENT AND DESCRIPTION OF THE BOOK
Artificial Intelligence (AI) is revolutionizing the way we live, work, and interact with the world around us. AI has a significant impact on our lives today and in the future. Thanks to AI, we are witnessing great advancements in the field of machine learning, image recognition, and natural language processing. Machines are becoming increasingly skilled at understanding our world. In this captivating book, we explore the depths of this extraordinary technology, from its definition and history to its practical application in various sectors. Perhaps we are not aware that in recent years, AI has already taken on an increasingly central role in our daily lives, influencing sectors such as healthcare, manufacturing, finance, and even defense. The book presents numerous examples of companies successfully using AI: you will discover how some organizations are harnessing the potential of AI in the automotive industry, healthcare, manufacturing, and finance. We then travel through a world of possibilities and discover how AI is changing the face of these industries.
But what does AI really mean? What is its purpose and how has it evolved over the years? It's not just about technology: AI also has enormous social and economic importance. In the book, we explore how AI influences work and employment, privacy, and security. We also discuss the need for adequate regulation to ensure ethical and responsible use of AI.
Starting from the theoretical foundations of AI, we explore crucial concepts such as data, logic, and probability. We also delve into essential mathematical topics such as linear algebra and calculus. Additionally, we analyze neural networks and clustering algorithms, which are fundamental tools for AI. We then delve into machine learning, exploring advanced algorithms like decision trees, neural networks, and Support Vector Machines (SVM). Through the powerful tool of Deep Learning, we explore image and speech recognition. We delve into recognition techniques such as computer vision and natural language processing, enabling machines to interpret and understand our visual and linguistic world.
In addition to examining the practical applications of AI in various sectors, we address the impact of AI on society and the economy. We discuss implications for employment, privacy, security, and the necessity of regulation. Finally, we explore the future of AI. We examine cutting-edge concepts like Quantum Machine, explainable and federated AI. We analyze the new job opportunities that AI offers and discuss ethical issues, mobility, sustainability, and art in the era of AI.
Each chapter of the book is followed by an in-depth section, providing sources, websites, publications, and books for those who wish to further explore the topics covered. This makes the book not only a comprehensive guide to AI but also a valuable resource for those looking to delve deeper into the subject. Anyone interested in understanding and harnessing the potential of AI will find this book an indispensable resource. I invite you to embark on this journey and discover how AI is shaping our present and our future.
INDEX
INTRODUCTION, DEFINITION AND HISTORY. 16
INTRODUCTION.. 16
DEFINITION.. 16
HISTORY. 20
CHAPTER 1. 36
THEORETICAL FOUNDATIONS: 36
1.1. DATA. 37
1.1.1. TEXTUAL DATA. 39
1.2. LOGIC. 41
1.2.1. MACHINE LEARNING.. 44
1.2.2. KNOWLEDGE REPRESENTATION.. 44
1.2.3. AUTOMATED REASONING.. 45
1.2.4. NATURAL LANGUAGE PROCESSING.. 46
1.3. PROBABILITY. 48
1.3.1. BAYESIAN NETWORK. 48
1.3.2. MACHINE LEARNING.. 49
1.3.3. KNOWLEDGE REPRESENTATION.. 50
1.3.4. CLASSICAL PROBABILITY: 52
1.3.5. CONDITIONAL PROBABILITY: 53
1.3.6. BAYESIAN PROBABILITY: 54
1.3.7. FREQUENTIST PROBABILITY. 56
1.3.8. CLASSIFICATION: 58
1.3.9. REGRESSION.. 58
1.3.10. GENERATIVE MODELING.. 58
1.3.11. BAYESIAN INFERENCE. 58
1.4. KNOWLEDGE REPRESENTATION.. 64
1.5. LINEAR ALGEBRA IN AI 66
1.5.1. LINEAR REGRESSION.. 66
1.5.2. CLASSIFICATION.. 67
1.5.3. DIMENSIONALITY REDUCTION.. 68
1.5.4. IMAGE RECOGNITION.. 70
1.5.5. LINEAR ALGEBRA IN THE CONTEXT OF NATURAL LANGUAGE PROCESSING (NLP) 71
1.5.6. SPEECH RECOGNITION.. 72
1.5.7. MACHINE LEARNING.. 74
1.5.8. NEURAL NETWORKS. 75
1.5.9. RECOMMENDER SYSTEMS. 76
1.5.10. SOCIAL NETWORK ANALYSIS. 77
1.5.11. TIME SERIES ANALYSIS. 79
1.5.12. MEDICAL IMAGE ANALYSIS. 80
1.5.13. SIMULATION OF COMPLEX SYSTEMS. 81
1.6. CALCULUS, OR “COMPUTATION” IN AI 82
1.6.1. NUMERICAL COMPUTATION.. 82
1.6.2. SYMBOLIC COMPUTATION.. 83
1.6.3. STATISTICAL COMPUTATION.. 83
1.6.4. OPTIMIZATION.. 83
1.6.5. PARALLEL COMPUTATION.. 84
1.6.6. MACHINE LEARNING ALGORITHMS. 84
1.6.7. CLASSIFICATION.. 84
1.6.8. REGRESSION.. 86
1.6.9. CLUSTERING.. 87
1.6.10. DIMENSIONALITY REDUCTION.. 88
1.6.11. NATURAL LANGUAGE PROCESSING (NLP) 90
1.6.12. COMPUTER VISION.. 91
1.6.13. COMPUTATION AND NEURAL NETWORKS. 92
1.7. PROGRAMMING LANGUAGES. 93
1.7.1. PYTHON.. 94
1.7.2. R. 94
1.7.3. JAVA. 94
1.7.4. MATLAB. 94
1.7.5. LISP. 95
1.7.6. TENSORFLOW... 95
1.7.7. KERAS. 95
1.7.8. PYTORCH. 95
1.7.9. SCIKIT-LEARN.. 96
1.7.10. OPENCV. 96
CHAPTER 2. 101
MACHINE LEARNING: Supervised and Unsupervised Learning Algorithms, Decision Trees, Neural Networks, And Support Vector Machines. 101
2.1. INTRODUCTION.. 102
2.2. PRINCIPLES OF MACHINE LEARNING.. 102
2.2.1. CLASSIFICATION.. 102
2.2.2. REGRESSION.. 102
2.2.3. CLUSTERING.. 103
2.3. TYPES OF MACHINE LEARNING.. 103
2.3.1. SUPERVISED LEARNING.. 103
2.3.1.1. VOICE RECOGNITION.. 106
2.3.1.2. AI VOICE RECOGNITION AND NATURAL LANGUAGE PROCESSING 107
2.3.1.3. CHALLENGES IN USING AI FOR VOICE RECOGNITION.. 110
2.3.2. FACIAL RECOGNITION AND SUPERVISED LEARNING.. 111
2.3.3. NON SUPERVISED LEARNING.. 119
2.3.4. REINFORCEMENT LEARNING.. 120
2.3.5. DECISION TREES: 122
2.3.6. NEURAL NETWORKS. 129
2.3.6.1. CONVOLUTIONAL NEURAL NETWORKS (CNNS) 130
2.3.6.2. RECURRENT NEURAL NETWORKS (RNNS) 131
2.3.6.3. GENERATIVE NEURAL NETWORKS (GANS). 132
2.3.7. SUPPORT VECTOR MACHINES (SVM) 136
2.3.7.1. COMPANIES INVOLVED IN SVM DEVELOPMENT. 144
2.4. UNIVERSITIES OFFERING MACHINE LEARNING COURSES: 145
CHAPTER 3. 150
IMAGE AND SPEECH RECOGNITION, DEEP LEARNING: Recognition Techniques, Computer Vision, and Natural Language Processing. 150
3.1. TECHNIQUES FOR IMAGE AND SPEECH RECOGNITION.. 151
3.1.1. DEEP LEARNING.. 151
3.1.1.1. IMAGE RECOGNITION.. 152
3.1.1.2. SPEECH RECOGNITION.. 157
3.1.1.3. HANDWRITING RECOGNITION.. 159
3.1.1.4. TEXT RECOGNITION IN IMAGES. 160
3.1.1.5. AUTOMATIC TRANSCRIPTION.. 161
3.1.1.6. DEEP LEARNING AND NEURAL NETWORKS FOR IMAGE AND TEXT RECOGNITION.. 165
3.2. COMPUTER VISION.. 175
3.3. NATURAL LANGUAGE PROCESSING.. 177
3.3.1. SYNTAX ANALYSIS. 177
3.3.2. SENTIMENT ANALYSIS. 178
3.3.3. MACHINE TRANSLATION.. 179
3.3.4. SPEECH RECOGNITION.. 180
3.3.5. NATURAL LANGUAGE GENERATION (NLG) 181
3.3.6. TEXT CLASSIFICATION: 182
3.3.7. INFORMATION RETRIEVAL. 184
3.3.8. SOCIAL MEDIA SENTIMENT ANALYSIS. 186
3.3.9. CHATBOT. 187
CHAPTER 4. 193
APPLICATIONS OF AI: Automotive, Travel, Healthcare, Manufacturing, Finance, Defense, Journalism, Fashion. 193
4.1. AUTOMOTIVE. 194
4.1.1. AUTONOMOUS VEHICLES. 195
4.1.2. ACCIDENT PREVENTION.. 199
4.1.3. DRIVING DATA ANALYSIS. 200
4.1.4. INTELLIGENT MANUFACTURING.. 201
4.1.5. HOW THE MICROCHIP SHORTAGE IS IMPACTING THE APPLICATION OF AI IN CARS. 203
4.2. BOOKINGS AND TRAVEL PLANNING.. 205
4.2.1. AIRLINES. 205
4.2.2. ONLINE TRAVEL PLATFORMS. 205
4.2.3. CAR RENTAL SERVICES. 206
4.2.4. PUBLIC TRANSPORTATION SYSTEMS. 206
4.2.5. RIDE-SHARING APPS. 206
4.3. AI IN THE HEALTHCARE SECTOR. 206
4.3.1. AI-ASSISTED DIAGNOSIS. 207
4.3.2. PERSONALIZED HEALTHCARE. 208
4.3.3. MONITORING HEALTH AT A DISTANCE. 209
4.3.4. DRUG DISCOVERY. 210
4.3.5. EVIDENCE-BASED HEALTHCARE. 211
4.3.6. PRECISION MEDICINE. 213
4.3.7. AI-ASSISTED SURGERY. 214
4.3.8. SLEEP MONITORING.. 217
4.3.9. REMOTE HEALTHCARE. 220
4.3.10. DISEASE PREVENTION.. 222
4.3.11. MYTH VERSUS REALITY OF AI IN MEDICINE. 223
4.3.12. CHALLENGES AND RISKS OF AI IN MEDICAL SCIENCE. 224
4.3.13. GEN AI TECHNOLOGY IN HEALTHCARE. 225
4.3.14. CONCLUSION.. 236
4.4 MANUFACTURING INDUSTRY. 237
4.4.1. AI CAN HELP SME’S. 237
4.4.2. HOW AI COULD REVOLUTIONIZE THE MANUFACTURING SECTOR: THE “FACTORY IN A BOX”. 239
4.4.3. MACHINE LEARNING IN PRODUCTION.. 241
4.4.3.1. QUALITY CONTROL. 242
4.4.3.2. PRODUCTION PLANNING.. 244
4.4.3.3. PREDICTIVE MAINTENANCE. 245
4.4.3.4. PRODUCTION PROCESS OPTIMIZATION.. 246
4.4.3.5. PRODUCT LIFECYCLE MONITORING.. 247
4.4.3.6. PRODUCTION PERSONALIZATION.. 249
4.4.3.7. SUPPLY CHAIN MANAGEMENT. 250
4.4.3.8. WORKPLACE SAFETY. 252
4.5. AI IN FINANCE. 253
4.5.1. CORPORATE FINANCE. 253
4.5.2. FINANCIAL CREDIT DECISIONS. 254
4.5.3. FORECASTING AND RISK MANAGEMENT. 255
4.6. AI IN THE DEFENSE INDUSTRY. 256
4.6.1. TRAINING.. 257
4.6.2. SURVEILLANCE. 258
4.6.3. AMMUNITIONS AND WEAPONS. 260
4.6.4. CYBERSECURITY. 261
4.6.5. LOGISTICS. 262
4.6.6. AN OVERVIEW OF THE USE OF AI IN ARMED FORCES WORLDWIDE 263
4.7. AI AND JOURNALISM: THE AUTOMATED NEWSROOM.. 266
4.8. THE FASHION INDUSTRY EMBRACES GENERATIVE AI (the case of Gpt 3.5 and DAL-E) 269
4.8.1. DALL-E. 270
CHAPTER 5. 284
IMPACT OF AI ON SOCIETY AND ECONOMY: Employment, Privacy, Security, Regulation. 284
5.1. EMPLOYMENT AND JOBS. 285
5.1.1. HEALTHCARE. 286
5.1.2. AUTOMOTIVE INDUSTRY. 287
5.1.3. CYBERSECURITY. 289
5.1.4. E-COMMERCE. 289
5.1.5. JOB SEARCH. 290
5.1.6. ADVANTAGES OF AI FOR EMPLOYMENT. 291
5.1.7. DISADVANTAGES OF AI FOR EMPLOYMENT. 297
5.2. PRIVACY AND SECURITY. 301
5.2.1. IMPLICATIONS OF AI ON PRIVACY. 303
5.2.2. BIG DATA AND POTENTIAL PRIVACY ABUSES. 304
5.2.3. SECURITY IMPLICATIONS. 305
5.2.4. MANAGING VULNERABILITIES. 308
5.2.5. MANAGING NETWORK SECURITY WITH AI 308
5.2.6. LEGALITY OF DATA COLLECTION.. 310
5.2.7. REGULATION IN AI 311
5.2.7.1. CHALLENGES IN AI REGULATION.. 311
5.2.7.2. AREAS OF INTERVENTION.. 312
5.2.7.3. EXAMPLES OF AI REGULATIONS IN THE WORLD. 314
5.2.7.4. NEED FOR REGULATORY BODIES. 329
5.2.7.5. REGULATING GENERATIVE AI: UNPRECEDENTED CHALLENGES 330
5.2.7.6. INITIAL REGULATION OF AI 331
CHAPTER 6. 337
THE PRESENT FOR AI: GENERATIVE-AI SYSTEMS; ChatGpt, xAI, GCD, BARD…etc 337
6.1. OPENAI - CHATGPT. 342
6.2. XAI 343
6.2.1. THE CHALLENGE TO CHATGPT. 345
6.3. GOOGLE CLOUD DIALOGFLOW (GCD) 347
6.4. IBM WATSON ASSISTANT. 352
6.4.1. KEY FEATURES AND CAPABILITIES. 353
6.4.2. APPLICATIONS OF IBM WATSON ASSISTANT. 354
6.5. BARD. 355
6.6. DIFFERENCES AMONG CHATGPT, XAI AND BARD. 357
6.7. THE AUTONOMOUS AGENTS. 360
6.7.1. AutoGPT. 364
6.7.2. BabyAGI 366
6.7.3. MICROSOFT'S JARVIS. 370
6.7.4. CAMEL AGI 371
6.7.5. HYPERWRITE. 375
6.7.6. AgentGPT. 376
6.8. ADVANTAGES OF USING AI CHATS. 385
6.9. ISSUES OF USING AI CHATS. 386
6.10. FUTURE DEVELOPMENTS OF AI CHATS. 387
6.11. HOW GENERATIVE AI DIFFERS FROM OTHER FORMS OF AI 389
6.12. BUSINESS EXAMPLES OF APPLICATIONS OF GENERATIVE AI 390
6.13. HOW TO ASK THE RIGHT QUESTIONS TO ARTIFICIAL INTELLIGENCE. 393
CHAPTER 7. 401
THE FUTURE OF AI: Quantum Machine, New Job Opportunities, Ethics, Mobility, Sustainability, Art, Weak AI and Strong AI 401
7.1. QUANTUM MACHINE LEARNING.. 402
7.2. EXPLAINABLE AI 409
7.3. FEDERATED AI 409
7.4. AI AND HUMAN-MACHINE INTERACTION.. 411
7.5. AI AND THE CREATION OF NEW FUTURE JOBS. 412
7.6. AI AND ETHICS. 415
7.6.1. ALGORITHMIC DISCRIMINATION.. 415
7.6.2. ETHICS IN PRIVACY AND SECURITY. 417
7.7. AI AND THE FUTURE OF MEDICINE. 419
7.8. AI AND THE FUTURE OF MOBILITY. 420
7.9. AI AND FUTURE SUSTAINABILITY. 421
7.10. AI AND ART IN THE FUTURE. 423
7.11. SOLUTIONS FOR THE FUTURE CHALLENGES OF AI 424
7.12. AI IN 100 YEARS, WEAK AI AND STRONG AI 426
CHAPTER 8. 438
INTEGRATING GEN-AI INTO BUSINESS PROCESSES: how to do it responsibly? 438
8.1. DEFINE CLEAR OBJECTIVES. 439
8.2. DATA PRIVACY AND SECURITY. 441
8.3. BIAS MITIGATION.. 442
8.4. HUMAN OVERSIGHT. 444
8.5. TRANSPARENCY AND EXPLANATION.. 446
8.6. USER FEEDBACK AND IMPROVEMENT. 447
8.7. RESPONSIBLE USE CASES. 449
8.8. REGULATORY COMPLIANCE. 451
8.9. CONTINUED MONITORING AND EVALUATION.. 453
8.10. HOW TO MANAGE RISKS ASSOCIATED WITH AI 454
CONCLUSIONS. 457
APPENDIX: Acronyms used in AI 461
