Slide 1

Slide 1 text

"*ྙཧʹ͍ͭͯ 2024.5.29 ߹ಉձࣾpratya ஑ా ହ߂

Slide 2

Slide 2 text

ࣗݾ঺հ ஑ా ହ߂ʢIKEDA Yasuhiroʣ • 2010೥ɺNTTݚڀॴʹೖࣾɻωοτϫʔΫͷ҆શͳӡ༻ʹ޲͚ͯɺػցֶशΛ׆༻ͨ͠ ҟৗݕ஌ΞϧΰϦζϜΛ։ൃɻޙʹʮAIҟৗ༧ஹݕ஌ιϦϡʔγϣϯ ˏDeAnoSʯ ͱͯ͠NTTΞυόϯεςΫϊϩδΑΓ੡඼Խ • 2019೥ɺPKSHA TechnologyʹࢀըɻΤϯδχΞϦϯάϚωʔδϟʔͱͯ͠ɺઌਐతͳ ٕज़ݕ౼͔Βࣄۀಋೖʹ޲͚ͨ։ൃ·ͰΛखֻ͚ΔɻΫϨδοτΧʔυෆਖ਼ݕ஌Ξϧΰ ϦζϜͷ։ൃ΍σΟʔϓϥʔχϯάΛ༻͍ͨΦʔσΟΤϯε֦ுɺ޿ࠂίϯόʔδϣϯ ༧ଌϞσϧߏங౳ͷ࣮੷͋Γ • 2021೥ɺσʔλαΠΤϯεʹΑΔࣾձ՝୊ղܾΛՃ଎͢Δ΂͘߹ಉձࣾpratyaΛઃཱ 2

Slide 3

Slide 3 text

Ξ΢τϥΠϯ 1. AIٕज़ͷࣾձ࣮૷ͱྙཧత໰୊ʹ͍ͭͯ 2. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎલʣ 3. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎ߱ʣ 4. AIྙཧΛ८Δ࣮ࡍͷࣄྫ 5. ·ͱΊ 3

Slide 4

Slide 4 text

"*ࢢ৔ن໛ͷਪҠ • ૯຿লͷௐࠪʹΑΔͱɺੈքͷAIࢢ৔ن໛͸2022೥࣌఺Ͱ໿18ஹԁͱͳ͓ͬͯΓ 2030೥·Ͱ͸Ճ଎౓తʹ੒௕͢Δͱ͞Ε͍ͯΔ • ੜ੒AIͷ୆಄ʹΑͬͯɺࢢ৔ͷ੒௕͸͞ΒͳΔՃ଎͕ݟࠐ·Ε͍ͯΔ Ø 2023೥1݄ʹϦϦʔε͞ΕͨAzure OpenAIͷಋೖࣾ਺͸1೥Ͱ2,300ࣾʹ 4 Artificial intelligence (AI) market size worldwide in 2021 with a forecast until 2030 https://www.statista.com/statistics/1365145/artificial-intelligence-market-size/ 日本マイクロソフトが生成AIサービスの利用社数を公開し続ける理由 https://japan.zdnet.com/article/35213126/

Slide 5

Slide 5 text

ྙཧత໰୊ͷࣄྫ • ब৬৘ใαΠτʮϦΫφϏʯͷؔ࿈αʔϏεʮϦΫφϏDMPϑΥϩʔʯʹ͓͍ͯɺ ొ࿥Ϣʔβʔͷֶੜ͕اۀͷ಺ఆΛࣙୀ͢Δ֬཰ΛAIʹΑͬͯ༧ଌɻσʔλ͸࠾༻اۀ ΁ൢച͞Εͨ • 2019೥8݄ʹ੓෎ͷݸਓ৘ใอޢҕһձ͔ΒקࠂΛड͚ɺαʔϏε͸ഇࢭʹɻ9݄ʹ͸ ްੜ࿑ಇলʹΑΔߦ੓ࢦಋ͕࣮ࢪ͞Εͨ →AI׆༻ʹ͓͚Δྙཧత໰୊ͷऔΓѻ͍ʹ஫໨͕ू·Δ 5 日本経済新聞「リクナビに行政指導 辞退率販売、職安法に違反」 https://www.nikkei.com/article/DGXMZO49487690W9A900C1MM0000/

Slide 6

Slide 6 text

Ξ΢τϥΠϯ 1. AIٕज़ͷࣾձ࣮૷ͱྙཧత໰୊ʹ͍ͭͯ 2. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎલʣ 3. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎ߱ʣ 4. AIྙཧΛ८Δ࣮ࡍͷࣄྫ 5. ·ͱΊ 6

Slide 7

Slide 7 text

+PCJO "OOB .BSDFMMP*FODB BOE&GGZ7BZFOB5IFHMPCBMMBOETDBQFPG"* FUIJDTHVJEFMJOFT /BUVSF.BDIJOF*OUFMMJHFODF • աڈ5೥ʹ౉Δɺ͋ΒΏΔࠃͷاۀɾݚڀॴɾ࣏ࣗମͷൃදͨ͠AIྙཧΨΠυϥΠϯͷ಺༰Λௐࠪ • සग़͢ΔΩʔϫʔυΛ෼ੳͨ݁͠Ռʮಁ໌ੑʢઆ໌ੑɺղऍੑʣʯʮਖ਼ٛɾެฏੑʯʮඇ༗֐ੑʯ ʮ੹೚ੑʯʮϓϥΠόγʔʯͷ5߲໨͕ɺա൒਺ͷΨΠυϥΠϯ಺Ͱग़ݱ 7 https://www.nature.com/articles/s42256-019-0088-2

Slide 8

Slide 8 text

ಁ໌ੑʢઆ໌ੑɾղऍੑʣ 8 • AIͷ൑அʹ͍ͭͯઆ໌ɺղऍͰ͖Δ͜ͱ ü AIʹΑΔة֐ͷ཈੍ ü AIʹΑΔޮՌͷ૿෯ ü ๏తͳཧ༝ ü AIͱͷ৴པؔ܎ߏங • AIͷಁ໌ੑ޲্ʹ޲͚ͯɺԼه͕ॏཁͱߟ͑ΒΕ͍ͯΔ ü AIγεςϜ։ൃʹ͓͚Δ৘ใͷ։ࣔ ü ιʔείʔυɺσʔλͷ։ࣔ ü ؂ࠪੑ

Slide 9

Slide 9 text

ਖ਼ٛɾެฏੑ 9 • ʮਖ਼ٛʯͱ͸… ü ެฏੑɺόΠΞεɾࠩผͷ཈ࢭɺଟ༷ੑɺΠϯΫϧʔδϣϯɺAIͷܾఆʹର͢Δҟٞਃཱͯ͠ɾ ٹࡁાஔɺAI΍σʔλɾAIͷԸܙ΁ͷΞΫηεʹର͢Δެฏੑɺ࿑ಇࢢ৔ɾຽओओٛɾࣾձ໰୊ ΁ͷߩݙɺֶशσʔλͷଟ༷ੑ୲อɺetc. • ʮਖ਼ٛʯΛ୲อ͢ΔͨΊʹ͸ҎԼ͕ॏཁͰ͋Δͱߟ͑ΒΕ͍ͯΔ ü ن֨ͷࡦఆ΍໌ࣔతͳنൣͷϞσϧ૊ΈࠐΈ ü ಁ໌ੑΛ୲อ͠ɺݖར΍੍ݶʹ͍ͭͯެ։͢Δ ü ςετɾ؂ࢹɾ؂ࠪͷపఈ ü ๏ʹΑΔن੍ͷൃలɾڧԽɺҟٞਃཱͯ͠ͷݖརɾٹࡁાஔͷ֬อ ü ֤छ੍౓ͷΞοϓσʔτ ü ੓࣏తΞΫγϣϯɺֶࡍతɾଟ༷ͳ࿑ಇ؀ڥɺΠϯΫϧʔγϒͳࣾձɺརӹͷ෼഑ɺetc.

Slide 10

Slide 10 text

.FISBCJ /JOBSFI FUBM"TVSWFZPOCJBTBOEGBJSOFTTJONBDIJOF MFBSOJOH "$.$PNQVUJOH4VSWFZT $463 10 • طଘݚڀΛௐࠪ͠ɺػցֶशʹ͓͚Δެฏੑʹ͍֤ͭͯछఆٛΛ෼ྨ ü 23छͷόΠΞεʢྺ࢙తόΠΞεɺਓޱόΠΞεɺetc.ʣ ü 6छͷࠩผʢ௚઀తɾඇ௚઀తࠩผɺ੍౓ʹΑΔࠩผɺetc.ʣ ü 10छͷެฏੑʢ౳ՁΦοζɺػձۉ౳ɺແҙࣝʹΑΔެฏɺetc.ʣ • "ެฏͳػցֶश"ͷख๏ΛʮલॲཧʯʮதॲཧʯʮޙॲཧʯͰ෼ྨ ü લॲཧɿֶशσʔλʹ಺ࡏ͢ΔࠩผΛࣄલʹऔΓআ͘ ü தॲཧɿطଘͷֶशϞσϧʹରͯ͠ɺֶशͷաఔʹ͓͍ͯࠩผ͕ى͜Βͳ͍Α͏ ໨తม਺΍੍໿৚݅ΛՃ͑Δ ü ޙॲཧɿ௨ৗ௨ΓʹϞσϧΛֶशͨ͠ޙͰɺ༧ଌ݁ՌΛެฏੑ͕ຬͨ͞ΕΔΑ͏ิਖ਼

Slide 11

Slide 11 text

ެฏੑͷτϨʔυΦϑͱྙཧֶ 11 • ެฏੑͷई౓ʹ͸ʮଐੑؒͰͷ֨ࠩʢImpact Disparityʣͷճආʯͱ ʮଐੑͷΑ͏ͳηϯγςΟϒͳ৘ใΛ൑அʹ༻͍ΔʢTreatment Disparityʣ͜ͱͷճආʯ ͷ2छ͕ଘࡏ* ü લऀͷྫɿ༩৴ͷείΞʹ͍ͭͯɺੑผؒͰείΞͷ෼෍͕౳͘͠ͳΔΑ͏ʹ͢Δ ʢެฏੑʹ͓͚Δ”Demographic Parity”ʣ ü ޙऀͷྫɿ༩৴Λ͓͜ͳ͏ϞσϧͷΠϯϓοτʹੑผͷ৘ใΛ༻͍ͳ͍ ʢެฏੑʹ͓͚Δ”Fairness Through Unawareness”ʣ • ྙཧֶͷ؍఺ͰɺલऀΛʮ݁Ռʯʹண໨ͨ͠ޭརओٛతΞϓϩʔνɺޙऀΛʮҙਤʯʹ ண໨ͨٛ͠຿࿦తΞϓϩʔνͱղऍ͢Δݚڀ΋͋Δ** ** Mougan, Carlos, and Joshua Brand. "Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics." arXiv preprint arXiv:2311.05227 (2023). https://arxiv.org/abs/2311.05227 * Zafar, Muhammad Bilal, et al. "Fairness constraints: Mechanisms for fair classification." Artificial intelligence and statistics. PMLR, 2017. https://proceedings.mlr.press/v54/zafar17a.html

Slide 12

Slide 12 text

Ξ΢τϥΠϯ 1. AIٕज़ͷࣾձ࣮૷ͱྙཧత໰୊ʹ͍ͭͯ 2. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎલʣ 3. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎ߱ʣ 4. AIྙཧΛ८Δ࣮ࡍͷࣄྫ 5. ·ͱΊ 12

Slide 13

Slide 13 text

$IBU(15ͷग़ݱͱੜ੒"*ͷོ੝ • 2023೥3݄ʹOpenAI͕ࣾର࿩ܕAIʮChatGPTʢGPT-4ʣʯΛϦϦʔεɻਓؒͷΑ͏ͳࣗવͳର࿩ ͕Ͱ͖Δ͜ͱͰੈքதͰେ͖ͳ஫໨ΛूΊͨ • ର࿩ܕAIͱڝ͏Α͏ʹͯ͠ɺಈը૾ͷੜ੒AIʹ͍ͭͯ΋։ൃ͕੝ΜʹɻStable Diffusion, Midjourney, SoraͳͲ༷ʑͳϞσϧ͕ϦϦʔε͞Εͨ 13 Sora https://openai.com/sora ChatGPT https://chat.openai.com/

Slide 14

Slide 14 text

$IBU(15ͷٕज़ཁૉɿ5SBOTGPSNFS • 2017೥ʹGoogle BrainͷݚڀऀΒʹΑΔ࿦จ”Attention Is All You Need”ͰఏҊ͞Εͨख๏ɻ຋༁౳ ͷλεΫʹ͓͍ͯେ෯ͳਫ਼౓޲্Λ࣮ݱ ü GPTʢGenerative Pre-trained TransformerʣͰ͸Decoder෦෼ͷΈΛ૊Έ߹Θͤͯ࢖༻ • 2020೥ʹɺOpenAIͷݚڀऀΒʹΑΔ࿦จ”Scaling Laws for Neural Language Models”Ͱɺ Transformerͷਫ਼౓͕ϞσϧαΠζʗσʔληοταΠζʗܭࢉྔ͕૿͑Δʹ࿈Εͯ΂͖৐ଇʹ ैͬͯ޲্͠ɺͦͷ্ݶʹ͍ͭͯ͸؍ଌ͞Εͳ͔ͬͨ͜ͱ͕ࣔ͞Εͨ →ϦιʔεΛ౤͡Δ΄Ͳਫ਼౓্͕͕Γଓ͚ΔՄೳੑΛࣔࠦ 14 左図:Attention Is All You Need https://arxiv.org/abs/1706.03762 右図:Scaling Laws for Neural Language Models https://arxiv.org/abs/2001.08361

Slide 15

Slide 15 text

$IBU(15ͷٕज़ཁૉɿ3-)' • ChatGPTͰ͸Ϟσϧͷେن໛ԽʹՃ͑ͯɺਓखʹΑΔϥϕϦϯάΛ׆༻ͨ͠ڧԽֶश ʢRLHFɿReinforcement Learning from Human FeedbackʣʹΑͬͯɺΑΓਓؒʹͱͬͯ޷·͍͠ ର࿩Λ͓͜ͳ͏Ϟσϧ΁ͱνϡʔχϯά Ø Step 1ɿਓखͰ࡞੒͞Εͨʮ޷·͍͠ճ౴ʯΛਖ਼ղσʔλͱͨ͠ڭࢣ͋ΓֶशʹΑΔϑΝΠϯνϡʔχϯά Ø Step 2ɿೖྗจʹର͢Δෳ਺ͷճ౴ީิʹରͯ͠ɺਓखʹΑΔϥϯΫ෇͚Λ࣮ࢪɻͦͷσʔλΛ༻͍ͯɺೖྗจ ʹର͢Δճ౴จͷϥϯΫΛ༧ଌ͢ΔReward ModelʢRMʣΛֶश Ø Step 3ɿRMʹΑΔධՁ͕࠷େͱͳΔΑ͏ͳग़ྗΛ͓͜ͳ͏ϞσϧΛڧԽֶशͰ࡞੒ 15 Training language models to follow instructions with human feedback https://arxiv.org/pdf/2203.02155

Slide 16

Slide 16 text

ը૾ੜ੒"*ͷٕज़ཁૉʢҰྫʣ • Stable Diffusionͷߏ੒ཁૉ Ø Variational AutoencoderɿσΟʔϓϥʔχϯάʹΑΔσʔλѹॖͷٕज़ɻը૾σʔλͷѹॖʹ࢖༻ Ø Diffusion ModelɿϊΠζ͔Βը૾Λੜ੒͢ΔϓϩηεΛֶश͢ΔϞσϧɻֶशσʔλʹରͯ͠෇༩ͨ͠ϊΠζΛ আڈ͢ΔΑ͏ͳϞσϧΛֶशͤ͞Δ Ø Denoising U-NetɿDiffusion Modelʹ͓͍ͯϊΠζআڈʹ༻͍ΒΕΔσΟʔϓϥʔχϯάͷϞσϧ Ø CLIPɿը૾ͱςΩετΛಉ͡જࡏۭؒʹຒΊࠐΉϞσϧɻςΩετͷຒΊࠐΈʹ͸Transformer͕༻͍ΒΕ͍ͯΔ 16 High-Resolution Image Synthesis with Latent Diffusion Models https://arxiv.org/pdf/2112.10752 "a photograph of an astronaut riding a horse" Wikipedia : Stable Diffusion https://ja.wikipedia.org/wiki/Stable_Diffusion

Slide 17

Slide 17 text

0QFO"* l(155FDIOJDBM3FQPSUzBS9JW QSFQSJOUBS9JW • GPT-4ͷొ৔ʹΑͬͯAI͕༷ʑͳ࣭໰ʹ౴͑ΒΕΔΑ͏ʹͳͬͨ͜ͱͰɺྙཧతͳ໰୊ʹؔ͢Δ஫໨ ͕ߴ·Δ • OpenAI͕GPT-4ͷϦϦʔεͱಉ࣌ʹެ։ͨ͠Technical ReportͰ͸ɺର࿩ܕAI๊͕͑Δةݥੑͱͦͷ ରॲʹ͍ͭͯղઆɻةݥੑͷྫͱͯ͠ҎԼΛڍ͍͛ͯͨ Ø ϋϧγωʔγϣϯʢݬ֮ɺͰͬͪ͋͛ʣɺϓϥΠόγʔɺ༗֐ͳ಺༰ɺ৘ใૢ࡞ɺةݥͳ૑ൃతߦಈɺetc. 17 GPT-4 Technical Report https://arxiv.org/abs/2303.08774

Slide 18

Slide 18 text

.PUPLJ 'BCJP 7BMEFNBS1JOIP /FUP BOE7JDUPS3PESJHVFT.PSFIVNBOUIBOIVNBO .FBTVSJOH$IBU(15 QPMJUJDBMCJBT 1VCMJD$IPJDF • ChatGPTͷ੓࣏తͳόΠΞεʹ͍ͭͯධՁͨ͠࿦จɻChatGPTʹରͯ͠ຽओౘʗڞ࿨ౘͦΕͧΕͷ ཱ৔ΛऔΒ্ͤͨͰͷճ౴ͱɺ੓࣏తཱ৔Λࢦࣔ͠ͳ͍σϑΥϧτͷճ౴Λൺֱͨ͠ͱ͜Ζɺ ChatGPT͸ຽओౘدΓʢࠨ೿دΓʣͷόΠΞε͕͋Δ͜ͱ͕֬ೝ͞Εͨ • ถࠃͱಉ༷ʹ੓࣏తʹೋۃԽ͍ͯ͠ΔϒϥδϧɾӳࠃΛର৅ͱͨ͠ධՁͰ΋ɺ͍ͣΕ΋ࠨ೿دΓͷ ݁Ռ͕ಘΒΕͨ • ֶशͷݩͱͳͬͨ΢Σϒσʔλࣗମ΍ɺֶश࣌ʹߦΘΕͨΫϦʔχϯά΍৘ใ௥Ճʹ͓͚ΔόΠΞε ͕Өڹ͍ͯ͠ΔՄೳੑ͕͋Δ 18 https://arxiv.org/abs/2303.08774

Slide 19

Slide 19 text

4PNFQBMMJ (PXUIBNJ FUBM%JGGVTJPOBSUPSEJHJUBMGPSHFSZ JOWFTUJHBUJOHEBUB SFQMJDBUJPOJOEJGGVTJPONPEFMT 1SPDFFEJOHTPGUIF*&&&$7'$POGFSFODFPO $PNQVUFS7JTJPOBOE1BUUFSO3FDPHOJUJPO • Diffusion Modelֶ͕शσʔλΛͦͷ··࠶ݱͨ͠σʔλΛग़ྗͯ͠͠·͏Մೳੑʹ͍ͭͯௐࠪ • ެ։σʔληοτLAIONΛ༻͍ͯධՁɻը૾ͷΩϟϓγϣϯΛؚΜͩϓϩϯϓτΛStable Diffusionʹ ༩͑Δ͜ͱͰɺର৅ͷը૾ʹࠅࣅͨ͠ग़ྗΛಘΔ͜ͱʹ੒ޭͨ͠ 19 https://arxiv.org/pdf/2212.03860

Slide 20

Slide 20 text

Ξ΢τϥΠϯ 1. AIٕज़ͷࣾձ࣮૷ͱྙཧత໰୊ʹ͍ͭͯ 2. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎલʣ 3. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎ߱ʣ 4. AIྙཧΛ८Δ࣮ࡍͷࣄྫ 5. ·ͱΊ 20

Slide 21

Slide 21 text

ஶ࡞ݖʹؔ͢Δ໰୊ɿχϡʔεهࣄͷֶश 21 • ChatGPT౳ͷֶशσʔλͱͯࣗࣾ͠ͷίϯςϯπΛ࢖༻͞Εͨͱͯ͠ɺχϡʔϤʔΫɾλΠϜζࢴ ͕OpenAIͱMicrosoftΛஶ࡞ݖ৵֐Ͱఏૌ • ૌঢ়Ͱ͸ɺGPT-4ʹಛఆͷϓϩϯϓτΛೖྗ͢ΔͱχϡʔϤʔΫɾλΠϜζࢴͷهࣄͱಉ͡಺༰͕ ؙ͝ͱग़ྗ͞Εͯ͠·͏ͱओுʢOpenAIଆ͸ʮϋοΩϯά͞Εͨʯͱ൓࿦ʣ The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html

Slide 22

Slide 22 text

ஶ࡞ݖʹؔ͢Δ໰୊ɿը૾ੜ੒Λ༻͍ͨάϥϏΞ 22 • ूӳࣾʹΑΓग़൛͞Εͨը૾ੜ੒AIΛ༻͍ͨάϥϏΞࣸਅू͕ɺSNS্Ͱͷ൷൑Λड͚ͯൢചதࢭʹ • ஶ࡞ݖΛ໰୊ࢹ͢Δ੠ʹՃ͑ɺάϥϏΞΛҾୀ࣮ͨ͠ࡏͷਓ෺ʹࣅ͍ͯΔͱ͍ͬͨࢦఠ΋ड͚͍ͯͨ AIが生み出した女性モデルのグラビア写真集、集英社が販売中止…著作権を問題視する声 https://www.yomiuri.co.jp/culture/20230607-OYT1T50185/

Slide 23

Slide 23 text

ஶ࡞ݖ໰୊ʹର͢ΔऔΓ૊Έ 23 • จԽி͸༗ࣝऀΒͷٞ࿦΍ύϒϦοΫίϝϯτΛ౿·͑ͯɺ2݄ʹʮAIͱஶ࡞ݖʹؔ͢Δߟ͑ํʯͷ ҊΛެ։ Ø https://www.bunka.go.jp/seisaku/bunkashingikai/chosakuken/hoseido/r05_07/pdf/94011401_02.pdf • ݱߦͰ͸ݪଇͱͯ͠ೝΊΒΕ͍ͯΔɺஶ࡞෺ΛແஅͰ༻͍ͨAIֶशʹ͍ͭͯɺಛఆͷΫϦΤΠλʔͷ ࡞඼Λҙਤతʹֶशͤ͞Δߦҝ΍ɺݕࡧΛ੍ݶ͢ΔાஔΛߨͨ͡΢ΣϒαΠτͷσʔλͷֶश͸ஶ࡞ ݖͷ৵֐ʹ౰ͨΔՄೳੑ͕͋Δ఺ͳͲΛࣔͨ͠ 「AIと著作権に関する考え方」の案が示される 文化庁 https://www3.nhk.or.jp/news/html/20240229/k10014374871000.html

Slide 24

Slide 24 text

ޡ৘ใʹؔ͢Δ໰୊ɿ࣮ࡏ͠ͳ͍൑ྫͷҾ༻ 24 • χϡʔϤʔΫभͰߦΘΕͨຽࣄૌুʹ͓͍ͯɺหޢ͕࢜ࢿྉ࡞੒ʹChatGPTΛ༻͍ͨ͜ͱͰ ϋϧγωʔγϣϯʹΑͬͯੜ੒͞Ε࣮ͨࡏ͠ͳ͍൑ྫ͕Ҿ༻͞Ε͍ͯͨ͜ͱ͕ൃ֮ • ࣄ݅Λड͚ͯɺςΩαεभͷ͋Δ࿈๜൑ࣄ͸ʮఏग़ࢿྉͷ͍͔ͳΔ෦෼΋ੜ੒AIʹΑͬͯ࡞੒͞Ε ͍ͯͳ͍͜ͱΛূݴ͢Δ͔ɺੜ੒AIʹΑͬͯ࡞੒͞Εͨ෦෼͸ਖ਼֬ੑΛ֬ೝͰ͖ΔΑ͏໌֬Խ͢ Δʯ͜ͱΛ໋ྩͨ͠ Lawyer Used ChatGPT In Court—And Cited Fake Cases. A Judge Is Considering Sanctions https://www.forbes.com/sites/mollybohannon/2023/06/08/lawyer-used-chatgpt-in-court-and-cited-fake-cases-a-judge-is-considering-sanctions/?sh=3e8194d97c7f

Slide 25

Slide 25 text

ޡ৘ใͷ໰୊ʹର͢ΔऔΓ૊Έɿ0&$%ʹΑΔࠃࡍࢦ਑ʮ"*ݪଇʯ 25 • ܦࡁڠྗ։ൃػߏʢOECDʣ͕ࡦఆ͢ΔAIར༻ͷࠃࡍࢦ਑ʮAIݪଇʯʹ͍ͭͯɺੜ੒AIͷ୆಄Λ ౿·͑ͨվఆҊ͕5݄ʹఏࣔ͞Εͨ Ø https://legalinstruments.oecd.org/en/instruments/oecd-legal-0449 • վఆҊͷதͰ͸ɺAI։ൃऀΒʹରِͯ͠৘ใɾޡ৘ใ΁ͷରॲΛٻΊΔ߲໨͕৽ͨʹ੝Γࠐ·Εͨ OECDが生成AI対策、開発者に偽・誤情報への対処求める…閣僚理事会で指針改定案採択へ https://www.yomiuri.co.jp/economy/20240430-OYT1T50220/

Slide 26

Slide 26 text

Ξϊςʔγϣϯʹ͓͚Δ࿑ಇࡡऔ໰୊ 26 • ChatGPT͕๫ྗతɾࠩผతͳग़ྗΛ͠ͳ͍ͨΊͷֶशσʔλ࡞੒ΛɺέχΞͷ࿑ಇऀΛޏ༻͢Δ Samaࣾʹґཔ • ࢠڙ΁ͷੑతٮ଴΍ࡴਓͳͲͷ಺༰ΛؚΉ๲େͳςΩετ΁ͷϥϕϧ෇͚Λɺ࣌څ2υϧఔ౓ͷ ௿௞ۚͰ࣮ࢪ • ΠϯλϏϡʔΛड͚ͨ4໊ͷ࿑ಇऀ͕͍ͣΕ΋ɺϝϯλϧϔϧεʹਂࠁͳѱӨڹΛड͚ͨͱड़΂ͨ Exclusive: OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic https://time.com/6247678/openai-chatgpt-kenya-workers/

Slide 27

Slide 27 text

ෆద੾ͳσʔλΛ༻͍ͨ"*ֶशͷ໰୊ 27 • ը૾ੜ੒AIͷֶश༻σʔληοτʮLAION 5Bʯʹ਺ඦຕͷࣇಐͷੑతٮ଴ը૾ؚ͕·Ε͍ͯͨ ͜ͱ͕ถελϯϑΥʔυେͷݚڀʹΑΓൃ֮ • LAION 5BΛֶशʹར༻͍ͯ͠ΔStability AIࣾ͸ϞσϧͷΞοϓσʔτ΍ϓϩϯϓτͷϑΟϧλϦϯά ʹΑͬͯ໰୊ʹରԠɻҰํɺಉ༷ʹLAION 5BΛར༻͍ͯ͠ΔMidjourney͔Βͷίϝϯτ͸ແ͔ͬͨ Stable Diffusion 1.5 Was Trained On Illegal Child Sexual Abuse Material, Stanford Study Says https://www.forbes.com/sites/alexandralevine/2023/12/20/stable-diffusion-child-sexual-abuse-material-stanford-internet-observatory/

Slide 28

Slide 28 text

Ξ΢τϥΠϯ 1. AIٕज़ͷࣾձ࣮૷ͱྙཧత໰୊ʹ͍ͭͯ 2. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎલʣ 3. AIྙཧʹؔ͢Δٞ࿦ʢChatGPTҎ߱ʣ 4. AIྙཧΛ८Δ࣮ࡍͷࣄྫ 5. ·ͱΊ 28

Slide 29

Slide 29 text

·ͱΊ 29 • ੜ੒AIͷ୆಄ʹΑΓAIٕज़ͷࣾձ࣮૷͕Ճ଎͢ΔҰํͰɺྙཧ໘ʹؔ͢Δ՝୊͸਺ଟ͘ ੵΈ࢒͞Ε͓ͯΓɺ࣮ࣾձʹ͓͍ͯ΋طʹ༷ʑͳ໰୊͕ੜ͍ͯ͡Δ • ஶ࡞ݖอޢ΍ޡ৘ใରࡦͳͲҰ෦ͷ໰୊ʹ͍ͭͯ͸੍౓ԽͷऔΓ૊Έ͕ਐΉ΋ͷͷɺ ެฏੑͷτϨʔυΦϑ΍σʔλʹ಺ࡏ͢ΔόΠΞεͳͲɺຊ࣭తʹղܾͷ೉͍͠໰୊ͱ ͲͷΑ͏ʹରቂ͢Δ͔ʹ͍ͭͯ͸ࣾձతʹ߹ҙܗ੒ΛਐΊ͍ͯ͘ඞཁ͕͋ΓɺͦͷͨΊ ʹ͸֤ਓ͕৘ใྙཧʹؔ৺Λ࣋ͪɺ࠷৽ͷಈ޲Λ೺Ѳ͢Δ͜ͱ͕ॏཁͰ͋Δ